Top Hybrid Jobs

Fondée en 2016 par Lucas, Clément et Sebastien, Agicap est devenue l’une des scale-up les plus rapides d’Europe, avec plus de 7000 clients dans 11 pays et chaque année une croissance à 3 chiffres.

Agicap permet aux dirigeants de PME de suivre, prévoir et gérer leur trésorerie, rapidement et facilement. Nous repensons fondamentalement la façon dont les PME gèrent l’un de leurs plus grands problèmes : la trésorerie !

Pour nous aider à y parvenir, nous avons réalisé 3 levées de fonds, pour un total de 121 millions de dollars. Ces ressources supplémentaires nous permettent d’investir massivement dans le Produit, de développer considérablement l’équipe en accueillant de nouveaux talents et d’accélérer notre expansion internationale.

Notre succès est dû à notre équipe extrêmement compétente et passionnée. Nous nous engageons à bâtir une entreprise où les gens peuvent grandir et évoluer dans leur carrière. Nous recherchons donc de nouveaux talents, ambitieux et exigeants, prêts à rejoindre cette aventure !

Croissance de nos effectifs :

Juillet 2019 : 10

Juillet 2020 : 50

Juillet 2021 : 200

Fin 2022 : +500

We are looking for a talented Software Engineer who is knowledgeable about the internal needs to join our LAB team. The ideal candidate should be able to think outside the box, be pragmatic, and driven by impact. They must also be closely connected with the business side of things to deliver high value as quickly as possible.

Responsibilities:

• Collaborate with the LAB team to design, develop, and implement custom solutions for our internal needs.

• Deploy, monitor, and maintain the production solutions, ensuring their optimal performance and reliability. - Identify internal pains and explore potential solutions.

• Work closely with the business and sales teams to ensure the solutions provided meet the clients' needs and provide added value.

• Leverage LLMs possibilities to automate and enhance internal processes, examples projects:

- Generate scripts and content for client facing teams

- Automate CRM filling through text and audio analyses

- Customer and Team Member supports knowledge support agent creation

What we are looking for :

• 3+ years of experience in software development.
• Full working proficiency in French and ideally in English
• Proficiency with Docker and CI/CD tools.
• Experience with deploying solutions in cloud environments, preferably using Terraform.
• Familiarity with Google Cloud Platform (GCP) is a plus.
• Proven track record in thinking outside the box and delivering impactful results.
• Exceptional problem-solving skills and a pragmatic approach to finding solutions.
• Ability to work closely with business teams to achieve goals.

Merci

As a Public Policy Manager (Product) on the Public Policy team, you will serve as the bridge between our Product organization and the policy community. You will explain our products to policymakers around the world, as well as lead our external engagement on policy issues that affect our commercial offerings, including data privacy, intellectual property, Trust & Safety (T&S), and other topics as they arise. In parallel, you will help shape the ongoing development of our products so that they appropriately reflect updates and changes in the broader policy community.

This role is highly cross-functional and you will collaborate closely with our Product, Legal, T&S, and Communications teams. You will work with many of these teams to spearhead due diligence efforts and implement regulatory frameworks into our product development process. You will also build and maintain relationships with civil society organizations to inform our product policies and internal design practices, in partnership with the T&S and Policy teams.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

• Developing proactive policy campaigns that explain our products, users, and Trust & Safety policies to policymakers in multiple geographies
• Spearheading engagement with policymakers in response to inquiries regarding our products
• Conducting gap analyses between our internal processes and recommended policy frameworks
• Designing and executing a policy campaign for regulatory proposals to govern general-purpose AI systems including large language models (LLMs) in commercial applications
• Working cross-functionally with Product, Legal, and Trust & Safety teams to conduct policy reviews and impact assessments on our products
• Working cross-functionally with Communications, Product, and Trust & Safety teams to clearly communicate product design decisions and product policies
• Building and maintaining relationships with key policymakers and national regulatory authorities
• Building and maintaining relationships with civil society and advocacy groups

• Have a strong track record working cross-functionally with Product, Legal, Trust & Safety, and Communications teams on product design and policy developments
• Demonstrated experience briefing policymakers and regulatory authorities in multiple markets including the U.S. and the E.U.
• Have experienced collaboration with Product teams to ensure products conform to policy requirements, frameworks, and toolkits
• Experience designing and advocating for concrete policy and regulatory proposals for consumer and / or enterprise technology products
• Exceptional communication skills and an ability to explain complex technical concepts to non-technical stakeholders
• 7+ years Public Policy experience, in technology companies or government (or both!)

• Have a deep familiarity with data privacy, security, T&S, or intellectual property topics
• Have experience with AI / ML
• Have experience building partnerships with civil society and advocacy groups to inform Trust & Safety policies 
• Have experience representing Public Policy on internal review committees or product review processes

• The expected salary for this position is $300k USD.

Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com.

We are looking for a ML/Deep Learning Engineer to come and work on our growing AI stack. If you are excited about Machine Learning/Deep Learning, NLP, Reinforcement Learning, Model Deployment Pipeline, then AppZen is the right place for you to use and grow your skills.

Requirements:

• Building Deep Learning based NLP/Document AI models - transformers, reinforcement learning
• Ability to build LLMs and graph ML is a plus
• Solid understanding of machine learning fundamentals and familiar with standard algorithms and techniques
• Expert in object oriented Python
• Experience with TensorFlow/Keras and/or Pytorch, Scikit Learn, Matplotlib, NLTK or other associated packages
• Follow through data quality in all stages of ML pipeline from data exploration to production 
• Self starter and ability to manage and own projects
• MS with 3-5+ years or PhD with 1-2 years of related work experience
• Able to work onsite in San Jose, CA

• Competitive salary package and bonus or variable incentive pay depending on role
• Comprehensive medical, dental, vision and life insurance benefits
• Unlimited PTO
• Paid parental leave for eligible employees
• 401(k) match
• $250 annual reimbursement for continuous learning
• Onsite gym access for HQ (San Jose) employees
• Lots of office perks like snacks, happy hours, company events
• These benefits are only applicable to full time employees

AppZen is committed to fair and equitable compensation practices.

The base pay range for this role is listed above. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.

We are equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.

Notre mission ⚖️

Nous nous engageons pour un enjeu démocratique majeur : rendre le droit plus accessible et transparent aux justiciables et aux professionnels du droit.

Doctrine est la première plateforme d'intelligence juridique. Nous centralisons et organisons toute l'information juridique disponible pour permettre aux avocats et juristes de mieux conseiller et défendre leurs clients. Plus d'un million de personnes viennent tous les mois sur Doctrine se renseigner sur leurs droits, et déjà 9000 professionnels du droit nous font confiance.

Nos valeurs 🤝

Challenge the status quo. Nous défendons les idées audacieuses et la prise de risque intelligente.

Liberty and responsibility. Nous promouvons l’autonomie, l’impact de chacun·e et l’ownership.

Knowledge is power. L'information est au cœur de la mission de Doctrine, et nous voulons toujours apprendre plus.

Release early, release often and listen to your customers. Nous croyons au pouvoir de l’itération et à l’importance d’écouter en permanence notre marché, nos client·e·s et leurs problématiques.

Le contexte

Nous cherchons un ingénieur machine learning senior, avec une avec une expérience significative en NLP et idéalement les Large Language Models, pour nous aider à construire la première plateforme d’intelligence juridique.

Tu rejoindras une squad dont la mission est de fournir des outils pour améliorer la productivité des avocats et des juristes grace à la technologie et en particuliers les LLMs.

Tu peux trouver des détails sur l’ensemble de la stack sur Github !

A savoir : il n’est pas nécessaire d’avoir une expérience professionnelle dans le domaine du droit, cependant l’envie de s’investir et de monter en compétence dans la compréhension des documents juridique est importante :)

Les missions 🛠

• Développer des modèles NLP (basé sur le Machine Learning ou non) pour aider aider nos clients à être plus productif. Cela peut inclure l’aide à la recherche documentaire, l’aide à la génération de documents etc…
• Maintenir et monitorer ces modèles en production
• Collaborer avec différents types de profils, notamment ingénieurs, product managers, product designers, pour identifier de nouveaux axes de développement produit
• Participer à la diffusion interne et à la consolidation de nos bonnes pratiques ; contribuer à l’élaboration de notre stratégie Engineering
• Faire monter en compétence les autres ingénieurs de l’équipe

• Une expérience significative en terme de construction de produit reposée sur le NLP, tel quel la reconnaissance d’entités nommées, la classification de texte, le résumé de texte, la modélisation de topic, la génération de contenu etc…
• Une bonne connaissance du machine learning et en particuliers des modèles de deep learning comme BERT ou les LLMs
• Un fort intérêt pour les sujets d’intelligence artificielle
• L’envie d’identifier, d'analyser, et d'intégrer en production les dernières avancées scientifiques dans le domaine
• Une bonne maitrise du développement Python, avec un focus sur la construction d’algorithmes
• La maîtrise de la langue française, car tu seras amené.e à manipuler des données juridiques en français.

• Comme tous les ingénieurs de Doctrine, tu participeras à un de nos chapters transverse, en l’espèce le chapter Data Science. Au sein de ce chapter, tu contribueras à des projets internes pour améliorer nos process et notre vision long-terme. Le chapter se réunit toutes les semaines pour :
• 🤝 Partager des connaissances : suivit de l’état de l’art, revue de papiers scientifiques, amélioration continue, bonnes pratiques,…
• 🎯 Proposer des évolutions : nouveaux outils à expérimenter, nouveaux process à mettre en œuvre

• Tu participeras également au 👩‍💻 recrutement : tous les contributeurs individuels rencontrent des candidats à l’occasion de tests techniques ou d’entretiens.

Ce qui t'attend si tu rejoins Doctrine 🤗

- Contribuer à un projet ambitieux, avec un impact réel et positif sur la société : rendre le droit plus accessible et plus ouvert.

- Un accompagnement sur mesure dès ton arrivée sur l'écosystème juridique pour t'aider à naviguer très vite dans cet environnement stimulant.

- Une aventure dans laquelle tu apprendras sans cesse et partageras tes connaissances à l’ensemble de tes collègues (talks internes/externes, meetups, Tech & Sales Monthly, blog Medium, etc.)

- Travailler au sein d’une équipe en ébullition qui cherche sans cesse à se renouveler : de la place pour innover et mener des projets en autonomie ou en équipe.

Nos avantages pour faire la différence ☀️

🏡 Une politique de télétravail flexible, avec 2 jours de présence au bureau par semaine (mardi et jeudi)

🌱 De nombreuses options pour ta carrière, et des mobilités internes ouvertes à toutes et tous chez Doctrine

🌴 Des vacances flexibles et illimitées

📚 Un vrai accent sur la formation individuelle et collective, avec un budget annuel de 750€ en usage libre et des formations en équipe et pour toute l'entreprise régulièrement

🏄‍♂️ Des évènements collectifs réguliers

👩‍⚕️ Une bonne assurance santé avec Alan

🚲 Un forfait mobilité durable à hauteur de 66 euros par mois

🏋️‍♀️ Un abonnement Gymlib pour les activités sportives et bien-être

🍱 Une carte Swile pour tes tickets restaurants

🧘 Un accès gratuit à la plateforme d'accompagnement à la santé mentale Moka.care

💡 Des centaines de réductions et avantages négociés grâce à notre CSE

🍏 Un équipement de travail neuf chez Apple

Notre processus de recrutement 🚀

- Un premier échange de 30 min avec l’un.e de nos Talent Acquisition Manager pour bien comprendre ton projet professionnel et te présenter ce qu'on construit chez Doctrine

- Une rencontre d’1h avec ton/ta futur.e manager, pour détailler le poste et le scope de l’équipe, mais aussi répondre à toutes tes questions.

- Un ou deux tests techniques pour évaluer concrètement tes compétences

- Un déjeuner avec 3 personnes de différents départements chez Doctrine, pour te donner un aperçu de tes futur.e.s collègues

- Un échange sur les valeurs de l’entreprise pour te partager notre vision

- Une rencontre avec Guillaume, notre CEO.

(si nécessaire le processus pourra être adapté pour répondre à tes contraintes personnelles et professionnelles)

Mesdames, autorisez-vous à candidater !

Certaines études scientifiques montrent qu'en particulier les femmes ont moins tendance à postuler à une offre d'emploi quand elles n'ont pas toutes les qualifications. Si cela peut vous rassurer, sachez que cette fiche de poste est indicative donc prenez la comme telle : c'est un guide, ni plus ni moins.

Si Doctrine vous intéresse, sachez que nous aurons plaisir à recevoir votre candidature !

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

_______________________________________________________________________________

Location:  NYC of SF Bay Area preferred

We are looking for an experienced Account Executive to source, qualify, progress and close deals to drive revenue acquisition strategy and growth. The ideal candidate will be a strategic thinker, with a proven track record of closing enterprise SaaS deals and expanding them to multimillion dollar accounts. In this role, you will be responsible for scoping & negotiating major enterprise deals, land and expand, pricing strategy, complex stakeholder management, and sales strategy.

What you'll do:

• Close existing pipeline of major enterprise deals
• Drive land and expand strategies and execution
• Contribute to building playbook
• Pricing strategy
• Negotiation complex deals with large enterprise clients
• Grow and develop our sales team as we continue to scale
• Contribute to overseeing the development of value / business cases & stakeholder alignment
• Manage complex enterprise deals including IT, procurement, finance, security, etc.

• Bachelor’s Degree in Business Administration, Marketing or a related field
• 5+ years of experience in Enterprise SaaS (B2B) sales or complex sales in tech/software.

• Experience in the AI/ML domain
• Experience in Enterprise SaaS sales in the manufacturing domain; beneficial but not required.
• Previous startup experience

Why Join Inworld

Inworld is a developer platform for building AI characters. We go beyond large language models (LLMs) and add performance, configurable safety, knowledge, memory, narrative controls, multimodality, and more. We’re focused on enabling character-based interactions for immersive experiences like video games, brand activations, and training simulations. 

Inworld uses advanced AI to build generative characters whose personalities, thoughts, memories, and behaviors are designed to mimic the deeply social nature of human interaction. Our platform lets you create characters with personality and contextual awareness to keep them in-world and on brand. Integrations make it easy for developers to deploy characters into immersive experiences, while scale and performance are optimized for real-time experiences. 

Inworld AI is funded by top-tier investors, including Kleiner Perkins, Intel, Microsoft, and Founders Fund, and a team of all-star angels - corporate executives, top VC funds' partners, and industry veterans from Riot Games, Twitch, and Oculus.

We are seeking a Head of Sales & BD who is passionate about AI, games, and virtual worlds and enjoys the challenges and excitement of a high-growth startup environment. In this role, you will work closely with cross-functional teams to develop and implement business strategies, foster relationships with key gaming partners, and drive revenue growth.

What you’ll be doing:

• Develop and implement a comprehensive sales strategy and process to drive revenue growth and expand the customer base.

• Grow and lead the entire sales and business development function, including personally engaging in the sales process, setting sales targets, managing pipeline and forecasting.

• Build and maintain strong relationships with key customers and stakeholders, leveraging industry contacts and networks to identify and pursue revenue opportunities across the gaming and technology industries.

• Identify, evaluate and close potential business opportunities that align with the company's strategic goals and objectives.

• Collaborate with cross-functional teams, including product, marketing and creative to ensure successful execution of business development initiatives.

• Stay updated on industry trends, market dynamics, and competitive landscape to identify new business opportunities and stay ahead of the competition.

• Represent the company at industry events, conferences, and other networking opportunities.

What we're looking for:

• Passion for AI, gaming and all things interactive.

• Proven track record of closing key accounts and delivering revenue growth.

• Bachelor's degree in business or a related field.

• 7-8 years of experience in sales and business development, or related roles preferably in the gaming or technology industries.

• Proficient with CRM.

• Experience setting targets and KPIs. 

• Strategic thinker with the ability to analyze market dynamics, identify opportunities, and develop actionable business plans.

• Excellent communication and negotiation skills, with the ability to build and maintain relationships with key stakeholders, customers, and partners.

• Ability to work independently, take ownership of projects, and deliver results in a fast-paced, dynamic environment.

• Willingness to travel domestically and internationally as required.

This is a hybrid position based at our Mountain View office and will require you to be in the SF Bay Area.

The US base salary range for this full-time position is $170,000 - $250,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.

Connect Assistance es una compañía de tecnología líder en la industria de Asistencia en Carretera y Hogar con presencia en Puerto Rico, Costa Rica, Panamá, Colombia y México. Nuestra misión es resolver problemas ordinarios con soluciones extraordinarias.

¡Únete a nuestra compañía líder en la industria como AI Engineer! Estamos enfocados en proyectos de Inteligencia Artificial (AI) y buscamos a un profesional altamente capacitado para unirse a nuestro equipo.

Resumen del puesto

Estamos buscando un AI Engineer enfocado en proyectos de AI con ChatGPT y LLMs. En este rol, serás responsable de estudiar el impacto e identificar proyectos de AI en Connect, así como desarrollar y llevar a producción modelos de lenguaje generativo (LLMs) como ChatGPT. Tu objetivo principal será el desarrollo de Chatbots y Voicebots que mejoren la experiencia del usuario y la eficiencia operativa de nuestra organización.

Responsabilidades

Estudiar el impacto de proyectos de AI en la compañía:

Colaborar con los equipos internos para comprender las necesidades y oportunidades de aplicar la Inteligencia Artificial en diferentes áreas de la organización.

Evaluar los problemas empresariales y definir soluciones de AI aplicables, identificando oportunidades para la implementación de LLMs y modelos de lenguaje conversacionales.

Realizar análisis de viabilidad técnica y económica para proyectos de AI, considerando aspectos como escalabilidad, rendimiento y seguridad.

Desarrollar y llevar a producción GPTs:

Diseñar, desarrollar e implementar modelos de lenguaje generativo (GPT) y LLMs como ChatGPT, adaptados a los requisitos y casos de uso específicos de la compañía. Usando “few-shot learning”, “embeddings”, y/o “fine-tunning”.

Realizar tareas de preprocesamiento de datos, entrenamiento, ajuste fino y evaluación de modelos de lenguaje, optimizando su rendimiento y capacidad de respuesta.

Colaborar con el equipo de ingeniería de software para integrar los modelos de lenguaje generativos en los sistemas y aplicaciones existentes, asegurando una implementación robusta y eficiente.

Desarrollar Chatbots y Voicebots:

Diseñar, desarrollar y mantener Chatbots y Voicebots que brinden una experiencia de usuario mejorada y eficiente.

Utilizar técnicas de procesamiento del lenguaje natural (NLP) y modelos de lenguaje generativos para crear sistemas de conversación inteligentes y contextuales.

Implementar interfaces conversacionales en múltiples canales, como chat en línea, aplicaciones móviles y plataformas de voz, asegurando una coherencia en la experiencia del usuario.

Requisitos

Título universitario en Ciencias de la Computación, Ingeniería de Software o campo relacionado.

Experiencia comprobada como Software Engineer o Machine Learning Engineer, con un enfoque en proyectos de Data, AI, o Machine Learning.

Familiaridad con tecnologías de infraestructura de AI (MLOps), como entornos de desarrollo distribuido y herramientas de implementación en la nube (AWS, Docker, Serverless, etc…).

Dominio de Python, así como experiencia en el uso de librerías de ciencia de datos como “Numpy”, “Pandas”, y de servicios web como “Flask” o “Django”.

(opcional) Experiencia práctica en el desarrollo de Chatbots y Voicebots utilizando bibliotecas y frameworks populares como TensorFlow, PyTorch o similar.

Te ofrecemos

Plan de salud para ti y tu familia (médico, psicólogo, ambulancia)

Asistencia para tu mascota

Asistencia jurídica (penal, civil y familiar)

fondo de empleados 

fondos para educación

Convenio Gimnasio

Plan de Bienestar con propuestas mensuales

plan carrera

Si reúnes los requisitos aplica con nosotros.

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

This position requires NYC/SF location. This is not an internship or new grad position as we are seeking experienced individuals.

What You'll Do

• Work on both data exploration and building data pipeline
• Help the engineering leaders we work with understand their data and problems which can be solved using the platform
• Play an active role in team meetings and workshops with clients
• Rotate between client project work and internal product development in alignment with your personal development plan

• Comfortable working in an unstructured environment
• Cares about writing clean, well-documented code in Python and/or Scala (and Spark)
• Has build data pipelines ensuring required data accuracy using unit/integration tests
• Is proficient in distributed computing frameworks like Apache Beam, Spark
• Has worked with orchestration and scheduling tools like airflow, kubeflow, luigi, dagster
• Is able to use SQL to derive quick insights from databases
• Is comfortable in deploying data/code to the cloud (GCP/AWS)
• 3+ years of industry experience building data pipelines

• Experience with hosting databases to power web based SaaS products
• Experience with ad-hoc data analysis tools / libraries like jupyter notebooks / pandas
• Experience with a growing company
• Experience working with aerospace or automotive companies
• Experience with MongoDB
• Experience with GraphQL

• The base salary range for New York is $130k - $160k

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

Connect Assistance es una compañía de tecnología líder en la industria de Asistencia en Carretera y Hogar con presencia en Puerto Rico, Costa Rica, Panamá, Colombia y México. Nuestra misión es resolver problemas ordinarios con soluciones extraordinarias.

¿Quieres formar parte de nuestro equipo de trabajo? ¡Únete a nuestra compañía líder en la industria como AI Engineer! Estamos enfocados en proyectos de Inteligencia Artificial (AI) y buscamos a un profesional altamente capacitado para unirse a nuestro equipo.

Estamos buscando un AI Engineer con enfoque en proyectos de AI con ChatGPT y LLMs. En este rol, serás responsable de estudiar el impacto e identificar proyectos de AI en Connect, así como desarrollar y llevar a producción modelos de lenguaje generativo (LLMs) como ChatGPT. Tu objetivo principal será el desarrollo de Chatbots y Voicebots que mejoren la experiencia del usuario y la eficiencia operativa de nuestra organización.

Responsabilidades:

Estudiar el impacto de proyectos de AI en la compañía:

- Colaborar con los equipos internos para comprender las necesidades y oportunidades de aplicar la Inteligencia Artificial en diferentes áreas de la organización.

- Evaluar los problemas empresariales y definir soluciones de AI aplicables, identificando oportunidades para la implementación de LLMs y modelos de lenguaje conversacionales.

- Realizar análisis de viabilidad técnica y económica para proyectos de AI, considerando aspectos como escalabilidad, rendimiento y seguridad.

Desarrollar y llevar a producción GPTs:

 - Diseñar, desarrollar e implementar modelos de lenguaje generativo (GPT) y LLMs como ChatGPT, adaptados a los requisitos y casos de uso específicos de la compañía. Usando “few-shot learning”, “embeddings”, y/o “fine-tunning”.

- Realizar tareas de preprocesamiento de datos, entrenamiento, ajuste fino y evaluación de modelos de lenguaje, optimizando su rendimiento y capacidad de respuesta.

 - Colaborar con el equipo de ingeniería de software para integrar los modelos de lenguaje generativos en los sistemas y aplicaciones existentes, asegurando una implementación robusta y eficiente.

Desarrollar Chatbots y Voicebots:

- Diseñar, desarrollar y mantener Chatbots y Voicebots que brinden una experiencia de usuario mejorada y eficiente.

 - Utilizar técnicas de procesamiento del lenguaje natural (NLP) y modelos de lenguaje generativos para crear sistemas de conversación inteligentes y contextuales.

- Implementar interfaces conversacionales en múltiples canales, como chat en línea, aplicaciones móviles y plataformas de voz, asegurando una coherencia en la experiencia del usuario.

Requisitos:

- Título universitario en Ciencias de la Computación, Ingeniería de Software o campo relacionado.

- Experiencia comprobada como Software Engineer o Machine Learning Engineer, con un enfoque en proyectos de Data, AI, o Machine Learning.

- Familiaridad con tecnologías de infraestructura de AI (MLOps), como entornos de desarrollo distribuido y herramientas de implementación en la nube (AWS, Docker, Serverless, etc…).

- Dominio de Python, así como experiencia en el uso de librerías de ciencia de datos como “Numpy”, “Pandas”, y de servicios web como “Flask” o “Django”.

- (opcional) Experiencia práctica en el desarrollo de Chatbots y Voicebots utilizando bibliotecas y frameworks populares como TensorFlow, PyTorch o similar.

Si reúnes los requisitos aplica con nosotros.

Why Join Inworld

Inworld is a developer platform for building AI characters. We go beyond large language models (LLMs) and add performance, configurable safety, knowledge, memory, narrative controls, multimodality, and more. We’re focused on enabling character-based interactions for immersive experiences like video games, brand activations, and training simulations. 

Inworld uses advanced AI to build generative characters whose personalities, thoughts, memories, and behaviors are designed to mimic the deeply social nature of human interaction. Our platform lets you create characters with personality and contextual awareness to keep them in-world and on brand. Integrations make it easy for developers to deploy characters into immersive experiences, while scale and performance are optimized for real-time experiences. 

Inworld AI is funded by top-tier investors, including Kleiner Perkins, Intel, Microsoft, and Founders Fund, and a team of all-star angels - corporate executives, top VC funds' partners, and industry veterans from Riot Games, Twitch, and Oculus.

Your Impact

We are looking for a Financial Controller to oversee all aspects of financial operations. In this role, you will implement and maintain internal controls, conduct financial analysis, manage budgeting, maintain accurate accounting reports, engage in strategic planning, and ensure compliance with regulatory requirements. As the Controller, you will have a significant impact on the organization's financial health and support our business growth.

Responsibilities:

• Analyze financial data and provide comprehensive financial reports, forecasts, and recommendations to the leadership team. 

• Manage and serve as the point of contact for finance and accounting vendors.

• Oversee all finance and controlling activities, including accounts receivable, accounts payable, cash management, general ledger, compliance and auditing, and financial reports.

• Supervise efficient and accurate payroll setup and processing.

• Oversee stock based compensation accounting.

• Manage monthly and yearly closing activities, including account reconciliations and preparation of financial statements.

• Develop and maintain budgets.

• Collaborate with tax advisors to ensure compliance with tax regulations.

• Manage banking and investment relationships.

• Establish internal finance and accounting policies and controls.

• Ensure compliance with applicable regulatory requirements, including GAAP and tax laws.

• Oversee the company's accounting, finance, and payroll systems (Rippling, Carta, etc.).

Requirements:

• Bachelor's degree in Accounting or Finance.

• CPA certification preferred.

• 5+ years of experience as a controller or in a similar financial management role.

• Strong knowledge of US GAAP and tax laws.

• Proficient in financial software and accounting systems.

• High attention to detail with strong analytical and problem-solving skills.

• Highly motivated and self-driven, with a strong sense of initiative.

• Experience in a high-growth startup environment is a plus.

The base salary range for this full-time position is $160,000 - $200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

What you'll do

• Contribute to the data visualization aspect of Axion’s core platform
• Play an active role in planning and team meetings
• Work with the leadership to set the standards for frontend engineering practices

• Has 3+ years of experience building web based dashboards
• Is proficient in front-end technologies like React (preferable), Vue.JS or Angular
• Is proficient in using javascript based data visualization libraries like like D3.js
• Is fluent in one or more of the following programming Languages/Runtimes: JavaScript, Typescript, nodeJs
• Well versed in modern Cloud Technologies and Hyperscaler environments (GCP/AWS) and container environments (Kubernetes/Docker)
• Understand agile software development methodologies
• Has passion to develop UX focused web apps
• Is sharp-minded Web Developers with a clear way of expressing things

• Experience in working on enterprise SaaS products
• Experience building web APIs, preferably in nodeJS or DotNet
• Experience with creating dynamic data visualization dashboards
• Experience with a growing company
• Experience working with aerospace or automotive companies

• The base salary range for New York is $120k - $150k

• Highly competitive compensation
• Meaningful equity
• Career development and leadership opportunities
• A great team
• We bring a unique combination of technical and business skills, with company leaders from top tech companies like Spotify, business leadership from McKinsey, and automotive leadership from GM and Ford.
• We’re an interdisciplinary team that prizes collaboration & diversity of thinking

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

What you'll do

• Grow and lead a team of engineers to spearhead development of Axion’s core platform
• Develop and enhance Axion’s core platform
• Play an active role in planning and team meetings
• Work with the leadership to set the standards for software engineering practices within the overall engineering team

• Can start by building our core platform hands-on then transition to a management role
• Has 5-10 years of experience leading system architecture design and product development for enterprise SaaS products
• Is experienced in development of modern cloud-native software and microservices (including CI, CD, security, etc.)
• Is proficient in front-end technologies like React, Vue.JS or Angular, preferably including data visualization on web platforms
• Is fluent in one or more of the following programming Languages: Java/Spring, Golang, JavaScript, Typescript
• Well versed in modern Cloud Technologies and Hyperscaler environments (GCP/AWS) and container environments (Kubernetes/OpenShift)
• Knows modern (SQL and No-SQL) database services and how to use them
• Understands agile software development methodologies
• Has experience building integrations with enterprise data systems
• Has experience building software zero to one in startup environments
• Has experience with how to architect, build and scale modern data stack

• Experience with data viz libraries like D3.js, charts.js, react-vis
• Experience with creating dynamic data visualization dashboards
• Experience with a growing company hiring a team

• Highly competitive compensation
• Meaningful equity
• Career development and leadership opportunities
• A great team
• We bring a unique combination of technical and business skills, with company leaders from top tech companies like Spotify, business leadership from McKinsey, and automotive leadership from GM and Ford.
• We’re an interdisciplinary team that prizes collaboration & diversity of thinking

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

Connect Assistance is a leading technology company in the Road and Home Assistance industry with a presence in Puerto Rico, Panamá, Costa Rica and Colombia. Our mission is to solve ordinary problems with extraordinary solutions.

Estamos buscando un AI Engineer enfocado en proyectos de AI con ChatGPT y LLMs. En este rol, serás responsable de estudiar el impacto e identificar proyectos de AI en Connect, así como desarrollar y llevar a producción modelos de lenguaje generativo (LLMs) como ChatGPT. Tu objetivo principal será el desarrollo de Chatbots y Voicebots que mejoren la experiencia del usuario y la eficiencia operativa de nuestra organización.

Responsabilidades:

Estudiar el impacto de proyectos de AI en la compañía:

- Colaborar con los equipos internos para comprender las necesidades y oportunidades de aplicar la Inteligencia Artificial en diferentes áreas de la organización.

- Evaluar los problemas empresariales y definir soluciones de AI aplicables, identificando oportunidades para la implementación de LLMs y modelos de lenguaje conversacionales.

- Realizar análisis de viabilidad técnica y económica para proyectos de AI, considerando aspectos como escalabilidad, rendimiento y seguridad.

Desarrollar y llevar a producción GPTs:

 - Diseñar, desarrollar e implementar modelos de lenguaje generativo (GPT) y LLMs como ChatGPT, adaptados a los requisitos y casos de uso específicos de la compañía. Usando “few-shot learning”, “embeddings”, y/o “fine-tunning”.

- Realizar tareas de preprocesamiento de datos, entrenamiento, ajuste fino y evaluación de modelos de lenguaje, optimizando su rendimiento y capacidad de respuesta.

 - Colaborar con el equipo de ingeniería de software para integrar los modelos de lenguaje generativos en los sistemas y aplicaciones existentes, asegurando una implementación robusta y eficiente.

Desarrollar Chatbots y Voicebots:

- Diseñar, desarrollar y mantener Chatbots y Voicebots que brinden una experiencia de usuario mejorada y eficiente.

 - Utilizar técnicas de procesamiento del lenguaje natural (NLP) y modelos de lenguaje generativos para crear sistemas de conversación inteligentes y contextuales.

- Implementar interfaces conversacionales en múltiples canales, como chat en línea, aplicaciones móviles y plataformas de voz, asegurando una coherencia en la experiencia del usuario.

Requisitos:

- Título universitario en Ciencias de la Computación, Ingeniería de Software o campo relacionado.

- Experiencia comprobada como Software Engineer o Machine Learning Engineer, con un enfoque en proyectos de Data, AI, o Machine Learning.

- Familiaridad con tecnologías de infraestructura de AI (MLOps), como entornos de desarrollo distribuido y herramientas de implementación en la nube (AWS, Docker, Serverless, etc…).

- Dominio de Python, así como experiencia en el uso de librerías de ciencia de datos como “Numpy”, “Pandas”, y de servicios web como “Flask” o “Django”.

- (opcional) Experiencia práctica en el desarrollo de Chatbots y Voicebots utilizando bibliotecas y frameworks populares como TensorFlow, PyTorch o similar.

If you meet the requirements, apply now!

EverC is a pioneer of advanced technology that provides risk intelligence for global enterprises. We use artificial intelligence and machine learning modeling to crawl millions of domains and give our clients full visibility, insight, and understanding of the internet. We shine a light on hidden merchant risk and reveal new opportunities to help businesses grow.

Our company 

We’re here to power e-commerce growth and keep it safe from illicit products and services​.   

We’re working with the world’s leading fintech and marketplaces to unlock new business opportunities by highlighting the good and ensuring lightning-speed removal of the bad​.  Our growing customer base includes JPMorgan, Mastercard, Visa, Amex, Adyen, Ali Pay, Amazon Pay, Intuit, Nuvei, Payoneer, Wix, eBay, Wish, Fruugo, and more 

We’re backed by Viola Capital, American Express Ventures, Nyca Partners, Arbor Ventures,Kroll Red-Dotand Bow Wave Capital, bringing the total capital invested to above $100M.  

Our product team  

We're on a mission to:  

- Deliver on our product promise - Build the world's first fully-automated cross-channel risk intelligence platform!

- Win together – We are passionate people working together, having each other's backs, inspiring each other, and empowering everyone to succeed and grow  

Our growing product team consists of strong product professionals and overall great people with proven track records (Gong, Payoneer, Pagaya, Logz.io, eBay).  😜

Your opportunity  

Our risk detection and classification models (merchant level, product level)are the backbone, brain, and nerve systems of our flagship products (MerchantView, MarketView).   

We use ML & DL models (and also LLMs) as well as heuristic algorithms to analyze millions of data points, to identify the bad, uncover patterns, reveal opportunities, and act upon them. 

We're looking for a passionate, highly-skilled, and experienced senior ML product lead to improve our flagship products' performance and value. How? By continuously reinventing, building, and extending our risk detection and classification capabilities and models. 

Your mission as an ML product lead at Everc is to:  

- Play a crucial role in the development and enhancement of our risk detection and classification models  

- Be fully hands-on, lead your parts from A-Z (why, what, how), and continuously raise the bar 

- Co-lead a 2 cross-functional growing squads 

Responsibilities:

• Drive the product vision, plan, and development of our risk detection and classification models
• Translate business and customer needs to smaller actionable functional and performance requirements and success metrics (coverage, precision, recall)    
• Define and prioritize your requirement based on customer feedback, data analysis, and business goals
• Manage the backlog; work closely with data scientists and devs to build and improve our models, track progress
• Continuously track and evaluate product performance, and collect and analyze data to identify areas for improvement.
• Communicate product updates, progress, and success metrics to all internal partners and customers 
• Share knowledge and evangelize best practices
• Co-lead your squad; Coach, and mentor other team members

• Baseline Qualifications
• A hungry, success-driven thinker and doer who gets stuff done!
• 4 + years of product management experience, hands-on experience with ML/DL models
• Data Savvy with a strong background in data analysis
• Demonstrated track record of successfully launching and managing complex  products and effectively working with cross-functional teams
• Strong problem-solving and analytical abilities
• Effective at decision-making, navigating uncertainty, and making tradeoffs
• Ability to optimally prioritize and execute in a dynamic environment
• Team player - communicating, participating, and helping
• Self-starter and able to achieve deadlines and work independently
• Excellent interpersonal and communication skills
• Preferred Qualifications
• Experience working in a growing start-up is a big advantage
• Experience with Fintech/ Risk Management/ Compliance is an advantage

About the role:

We are looking for experienced AI Generalists interested in designing elegant solutions to difficult problems in the healthcare space. Our AI engineers work across our ML stack: designing algorithms, tuning models, building data pipelining, and shipping scalable code. At Infinitus, we encourage engineers to take ownership over technical and product decisions, closely interact with users to collect feedback, and contribute to a thoughtful, dynamic team culture.

Infinitus is an early stage startup building a conversational AI platform to enable healthcare businesses to communicate with each other efficiently. We're a team of ex-Googlers, startup veterans, and healthcare experts. We're backed by Kleiner Perkins, Coatue Management and Google Ventures, along with individual investments from a selection of executives across the worlds of AI and tech: Ian Goodfellow, Gokul Rajaram, Aparna Chennapragada and Qasar Younis.

At Infinitus, you will:

• Work at a cutting edge conversational AI company.
• Innovate zero-to-one ML products that bring efficiency to Healthcare. 
• Work collaboratively with fullstack developers on updates to backend APIs and database schemas.
• Work collaboratively with NLP engineers & Applied Scientists to develop data pipelines, infrastructure and real time systems.

• Strong coding experience in Python, Golang, or C++.
• Working knowledge of at least one ML framework (TensorFlow, PyTorch, etc). 
• 7-10 years working on and shipping ML software.
• 2+ years working on LLMs, deep learning and/or transfer learning. 
• Has excellent knowledge of computer science fundamentals.
• Masters or PhD in Computer Science with a focus on AI, ML or NLP.

• Experience at an early-stage startup. 
• Experience working on healthtech.

• Competitive salary and pre-IPO stock options
• 100% company-paid medical, dental and vision insurance (for employee)
• Mental & Behavioral Health Benefits
• Flexible paid time off
• Leave programs for life events
• 401(k)
• Team Building Events & Happy Hours
• A great company culture with a strong emphasis on diversity, equity and inclusion

Infinitus Systems is a conversational AI healthcare company. By automating tedious and time-consuming administrative processes across the healthcare ecosystem, we’re creating time for healthcare to improve access, adherence and affordability. Healthcare is one of the biggest contributors to the US GDP and we are on a mission to reduce the complexity and spend on healthcare backoffices. Infinitus has raised $51.4M to date and is backed by leading growth investors Kleiner Perkins, Coatue and Google Ventures. 

Infinitus Systems, Inc. is an early stage startup building a voice automation platform to enable businesses to communicate with each other efficiently. Infinitus has raised $51.4M to date and is backed by Kleiner Perkins, Coatue Management and Google Ventures. Healthcare is one of the biggest contributors to the US GDP and we are on a mission to reduce the complexity and spend on healthcare backoffices. At Infinitus, you will have a unique perspective on the development of cutting edge technology while working with major players across the healthcare industry in the US.

Infinitus is made up of engineers, product managers, AI trainers, and operations specialists who collaborate on all kinds of projects. We not only encourage each other to do our best work, we also share our pet pictures, our favorite recipes, and stories from our vacations.

At Infinitus Systems, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

As a Customer Success Manager, you will help the world’s largest companies harness the transformative potential of LLMs to improve their products and services. You’ll ensure that Anthropic delivers value to customers, finds additional opportunities within current accounts, and establishes lasting relationships with key decision makers.  

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

• Becoming an expert in Anthropic's products, methodology, and prompting techniques
• Partnering with the Anthropic Account Executives and Product Researchers team to onboard new customers, and retain and grow existing customers
• Leading customer renewal strategy and using case-specific recommendations to key contacts at customer organizations
• Working with internal teams to develop new products and services that meet customer needs
• Conducting Quarterly Business Reviews for strategic accounts, in partnership with Account Executives
• Identifying patterns across customers and representing customer needs in Anthropic's product planning processes
• Forecasting and mitigating risks related to customer renewals and retention

• Have 5+ years of experience in customer success, account management, or a related role
• Have a proven track record of quota attainment against retention and upsell objectives
• Have a self-motivated, results-oriented work style
• Have strong presentation and communication skills, especially when interacting with executives and leaders  
• Have a personal passion for ensuring the safe and ethical development of AI

• The expected salary range for this position is $240k - $280k.

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:

- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.

- Comprehensive health, dental, and vision insurance for you and all your dependents.

- 401(k) plan with 4% matching.

- 21 weeks of paid parental leave.

- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!

- Stipends for education, home office improvements, commuting, and wellness.

- Fertility benefits via Carrot.

- Daily lunches and snacks in our office.

- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

What you'll do

• Hire and scale up a team of data scientists & machine learning engineers
• Work end-to-end from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them
• Help on consulting style pilot projects where we enable clients to understand their data and problems which can be solved using the platform
• Work closely with data scientists and data engineers to build and deploy machine learning models
• Play an active role in leading team meetings and workshops with clients
• Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
• Rotate between client project work and internal product development in alignment with your personal development plan

• Enjoys deriving insights from ML models, building explainable ML models and not just black box algorithms
• Cares about writing clean, well-documented code in Python and/or Scala (and Spark)
• Is excited about data exploration (in BigQuery/Jupyter notebooks/SQL) as well as building models and setting up data/ML pipelines
• Is comfortable working in an environment where priorities evolve
• Is able to use SQL to derive quick insights from databases
• Is comfortable in deploying data/code to the cloud (GCP/AWS)
• Understands the best practices of collaborative coding using tools like Git, CI/CD
• 3+ years of industry experience in data science/ML

• Experience with NLP
• Experience with a startup
• Experience working with aerospace or automotive companies

• Highly competitive compensation
• Meaningful equity
• Career development and leadership opportunities
• A great team
• We bring a unique combination of technical and business skills, with company leaders from top tech companies like Spotify, business leadership from McKinsey, and automotive leadership from GM and Ford.
• We’re an interdisciplinary team that prizes collaboration & diversity of thinking

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

Based in Southern California with locations in Malibu, Calabasas and Camarillo; HRL has been on the leading edge of technology, conducting pioneering research and advancing the state of the art. 

We are looking for a senior simulation software engineer to help us develop the future of Artificial Intelligence (AI) and Machine Learning (ML) technologies. AI/ML Scientists and engineers at HRL use our simulation software environments every day for training, operation, understanding, and advancement our customer’s mission and needs. As a senior simulation software engineer on the AI Engineering team you will be responsible for simulation software used to automate ML training, improve agility, support robust solutions, enhance our UX/UIs, create impactful demonstrations, and progress our research and algorithm development efforts up the technology readiness level to support our owners and customer missions and product lines.

Essential Duties:

Run simulations, perform experiments, analyze and track results, create dashboard reports, dataset and model versioning, interactive data visualization, and ML model optimization.

Curate, develop, and sustain a wide variety of AI visual, symbolic, and physics based models and simulation environments for use in Reinforcement Learning (RL) and customer mission scenarios.

Required Skills:

5+ years experience in two or more simulations environments and techniques: AFSIM, CARLA, MuJoCo, AirSIM, Applied Intuition, simulation at scale, scenario fuzzing, etc. 

Required Education:

Master's degree in Computer Science or Software Engineering is preferred.

Special Requirements:

U.S. Citizenship.

Active security clearance or ability to obtain one.

Compensation:

The base salary range for this full-time position is $120,000 - $200,000 + bonus + benefits.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed reflect the base salary only, and do not include potential bonus or benefits.

This position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.

HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

For our privacy policy please visit : www.hrl.com/privacy

Our mission at Orbital Insight is to understand what we’re doing on and to the Earth. We do this through our cloud-based SaaS platform, Orbital Insight Terrascope and on-premise offering, Terrabox, by ingesting geospatial data at massive scales, then applying state-of-art AI/ML and Data Science algorithms at scale. 

Data Science and Computer Vision Science are the heart of our products at Orbital Insight. We live at the intersection of all our company’s engineering, product, partnerships, and solution engineering efforts. We deeply understand all geospatial data sources we bring into our TerraScope Platform, including satellite and aerial imagery, and a wide array of geolocation data. We understand our customers’ business questions, pain points, and how our products aim to answer those questions and soothe those pains. Our Model Engineering team builds algorithms and capabilities that expose the valuable information contained within the multitudes of data we ingest and put it into context for our customers. We strive to define, and continually refine, the State-of-the-Art in AI and analytics, and are on our way to building the best computer vision team in the world for large scale automated analysis of remote sensing imagery and geolocation data.

As a member of our computer vision team, you will have the opportunity to tackle new and interesting computer vision problems and work with a brilliant team of scientists and engineers. Our team has a true passion for data and a commitment to building the highest performing models and products for our customers. If you join us, you’ll have the freedom to approach, own, and solve problems creatively. Come be a part of our journey to build the world’s best team in AI and analytics for overhead imagery and other geospatial data.

This position will be based in our Arlington, Virginia office but will require some work at customer sites in the DC area. Occasional travel to corporate headquarters in Palo Alto, California may be required.

This position requires active TS/SCI clearance. 

Who You Are

• Motivated and passionate about solving computer vision problems and pushing the boundaries of what is possible today
• Enjoys thinking out-of-the-box to develop innovative and creative solutions
• An exceptional communicator, capable of conveying complex technical ideas and information in readily-understandable ways to a wide audience
• Proactively diligent, and you operate with conviction, yet you recognize when you’re wrong and easily move past your own mistakes
• Comfortable working in a fast-paced environment where problems can be under-defined and ambiguous--you are capable of bringing clarity and delivering innovative solutions

• Build high-performing and scalable computer vision models
• Work on all stages of model development life cycle from defining data requirements, metrics, and labeling needs to deploying final models as part of the product
• Rapidly iterate algorithms to improve performance and generalization to new data
• Collaborate with stakeholders and end-user product owners to understand computer vision needs
• Stay current on the latest ML/CV research by reviewing papers and implementing state-of-the-art concepts
• Effectively communicate results and ideas via presentations and technical reports

• Active TS/SCI Clearance required
• Periods of working at customer sites in the DC area will be required
• BS degree in a STEM field (e.g. statistics, mathematics, machine learning, computer science, physics, engineering, etc.)
• MS or PhD preferred
• 5+ years of industry experience in Computer Vision
• Experience in using Deep Learning for object detection, classification, and segmentation tasks
• Experience in applying these techniques to overhead imagery (satellite and other aerial imagery) a big plus
• 3+ years experience coding Computer Vision models in Python that live in production systems
• Familiarity with frameworks like Pytorch and Tensorflow and other tools such as MLFlow, Tensorboard, Kubeflow, and Docker
• Ability to work both independently and collaboratively in a fast-paced environment
• Prior experience with Agile development methodologies

At Orbital Insight, we believe that a diverse workforce that reflects the diversity of our planet is the way to achieve our mission: to understand what is happening on and to the Earth.  Orbital Insight is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. We do not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Orbital Insight.

[회사 소개]

트웰브랩스(Twelve Labs)는 영상이해 인프라 기반의 B2B 영상검색, 분류, 요약 등의 영상이해 API 플랫폼을 제공하는 AI 기술 스타트업입니다. 현재 미국 내 여러 다양한 기업에 대규모 영상 DB 내에서 이용자가 원하는 장면을 빠르고 정교하게 찾아주는 영상검색 API 를 제공하고 있습니다. 최근까지 총 1,700만 달러(약 220억 원) 규모의 시드 투자를 유치했으며, 오라클(Oracle Cloud Infrastructure)과 전략적 파트너십 체결을 통해 다년 간 활용 가능한 수 천 대의 A100 및 H100 GPU로 구성된 대규모 클러스터를 확보했습니다. 영상이해에 특화된 수십억 파라미터 규모의 초대형 파운데이션 모델의 상용화를 위한 학습 및 배포에 박차를 가하고 있습니다.

[주요 업무]

• 트웰브랩스의 영상 검색, QA, 캡셔닝 등의 제품 발전에 필요한 AI 연구 프로젝트 진행 혹은 영상 이해 분야를 Data-centric하게 풀기 위한 AI 연구 프로젝트 진행

• 팀 리드와 논의하여 진행할 AI 연구 프로젝트를 정한 후 해당 프로젝트를 책임감 있고 주도적으로 수행

• 프로젝트 수행에 필요한 데이터 수집 및 라벨링 방법 및 수행 방식에 대한 논의

• 팀 내에서 진행 중인 각 프로젝트에 대해 ML 팀원 간의 정기적인 소통 및 피드백 제공

• 진행 중인 프로젝트에 대해 팀 리드를 포함하여 팀원들과 함께 정기적으로 소통하며 피드백 제공

• 팀이 가장 효율적으로 일할 수 있는 문화 및 필요한 환경에 대한 논의

[자격 요건]

• Video Understanding, Vision + X, NLP+Vision, Video Representation Learning, Generative Model, Action Recognition, Multimodal AI 혹은 유사한 분야에서의 연구 경험 및 관심사를 가지신 분

• 위 연구 분야에서 관련 박사 학위 이상으로 산업에서 1년 이상의 경험을 하신 분, 혹은 관련 석사 학위 이상으로 산업에서 3년 이상의 경험하신 분

• 주어진 연구 프로젝트를 주도적으로 운영할 수 있는 능력

• 열정을 갖추어 본인의 직무에 책임감 있게 업무를 수행하시는 분

[우대사항]

• 대규모 상용 ML 제품 개발 경험이 있으신분

• 대규모 모델 학습 및 가속화 경험이 있으신 분

• 탑티어 AI 컨퍼런스(NeurIPS, ICML, ICLR, AAAI, NAACL, ACL, EMNLP, CVPR, ICCV, ECCV, KDD, SIGGRAPH 등)에서 비디오, Vision + NLP, 멀티모달 관련 연구 출판 기록이 있으신 분 

• 국제 컨퍼런스 챌린지, Kaggle 대회, 혹은 국내 AI 대회에서 상위권 기록이 있으신 분

• 우수한 영어 작문 및 커뮤니케이션 역량 보유하신 분

[ML Modeling 팀 ML Research Scientist (Video AI) 채용 상세]

• 고용 형태: Full-time 정규직 (수습 3개월, 급여 변동 없음)

• 근무 장소: 서울시 용산구 이태원로27길 39-11, 2층

• 채용 절차: 서류 전형 > P&C casual chat > 기술과제 > (On-site) 기술 인터뷰 > 최종 Culture-fit 인터뷰 > Reference Checks > 최종 합격

• 제출 서류: 자유 양식의 상세 경력 기반의 국문 또는 영문이력서, 아래 필수 사전질문 답변 (PDF파일 권장)

• 지원서 외에 추가로 제출하고자 하는 자료 (e.g. GitHub, 기술 블로그, 개발 관련 포트폴리오 등) 는 careers@twelvelabs.io 로 보내 주셔도 좋습니다.

[필수 사전질문] (각 질문에 대하여 2-3줄 정도로 간략하게 기재해 주시면 됩니다.)

• 트웰브랩스 합류에 있어서 지원자분께서 가장 기대하고 계신 부분과 우려되는 부분이 있다면 무엇인가요?

• 지원자분께서 갖고 계신 지식과 역량, 종전의 경험 등이 트웰브랩스에 어떤 기여를 할 수 있다고 생각하시나요?

• 현재 시점에서 생각하고 계신 향후 커리어 패스 또는 커리어 골(Goal)은 무엇인가요? 

• 지원자분의 회사 선택의 기준(우선순위대로 3가지)과 일에서의 동기부여는 무엇인가요? 

[개발 문화]

• 뛰어난 코드 퀄리티를 유지하기 위해 서로의 코드를 리뷰하고 건전하게 피드백을 공유합니다.

• 매주 1회 Dev Talk(사내 개발자 간 지식 공유 세션)을 통해 서로의 인사이트를 자유롭게 공유합니다.

• 개개인의 작업 영역에 대하여 주인의식을 가지고, 높은 자율과 책임을 부여하고 있습니다.

[혜택 및 복지]

• 자유로운 재택 근무, 자율 출퇴근

• 구성원 개인명의 법인카드 제공(점심 식사, 사무용품 구입 등 비용 지원, 월 60만원 한도)

• 신규 입사 시 자유로운 비품 구입이 가능한 100만원 한도 비용 지원 

• MacBook Pro 16 등 각 포지션에 적합한 IT장비 지급

• 구성원 프리미엄 건강검진 지원 및 가족 검진 할인

• 개인 휴가와 별도의 매년 12월 2주간의 겨울방학

• 경조사 지원

[회사 연혁]

(2021.03) Twelve Labs 미국 법인 설립

(2021.04) 글로벌 액셀러레이터 Techstars Seattle 선정 및 프리시드 투자 유치

(2021.10) Microsoft 주최, ICCV 주관 2021 VALUE Challenge 영상검색 부문(Video Retrieval Track) 우승

(2021.12) Index Ventures 외 16곳 기관·엔젤투자자로부터 500만 달러(약 60억 원) 시드1 투자 유치

(2022.04) Twelve Labs Search API 클로즈드 베타 서비스 시작

(2022.05) 글로벌 시장조사기관 CB 인사이트 세계 100대 AI 기업(CB Insight 2022 AI 100) 국내 유일 선정

(2022.07) 비개발자용 영상검색 API 테스팅용 웹 플랫폼 API Playground 공개

(2022.10) 한국경제신문, AI One Team 주최 2022년 Korea AI Startup 100 AI 솔루션 플랫폼 부문 선정

(2022.10) Radical Ventures 외 11곳 기관·엔젤투자자로부터 1,200만 달러(약 160억 원) 시드2 투자 유치

(2022.11) 오라클(Oracle Cloud Infrastructure)과 다년 간의 클라우드 파트너십 체결

(2022.12) 2022년도 하반기 전문연구요원 병역지정업체 선정

(2023.03) Fast Company’s Most Innovative Companies of 2023

(2023.06) CB 인사이트 세계 100대 AI 기업(CB Insight 2023 AI 100) Search 부문 2년 연속 선정

트웰브랩스의 주요 VC, 투자자 및 자문위원으로 Notion, Discord 등 90개 이상의 유니콘 기업에 투자한 실리콘밸리 VC Index Ventures, 캐나다 AI 전문 VC Radical Ventures, ImageNet 창시자인 Stanford University의 Fei-Fei Li 교수, Scale AI의 Alex Wang 대표, Transformers 모델의 창시자 Aidan Gomez, Allen Institute of AI의 Oren Etzioni 대표, Weights and Biases의 Lukas Biewald 대표, Algolia의 Nicolas Dessaigne 대표, 새한창업투자의 Yoon Kim 파트너(전 SKT CTO, 전 Apple Siri Team 매니저) 등이 있습니다.

[참고 링크]

▶https://n.news.naver.com/mnews/article/001/0014040002?sid=101

▶https://www.cbinsights.com/research/artificial-intelligence-top-startups-2023/

▶https://techcrunch.com/2023/05/11/making-foundation-models-accessible-the-battle-between-closed-source-and-open-source-ai/

▶https://www.nfx.com/post/generative-ai-hot-75-list

▶https://www.fastcompany.com/90849183/most-innovative-companies-video-2023

▶https://techcrunch.com/2022/12/05/twelve-labs-lands-12m-for-ai-that-understands-the-context-of-videos/

▶https://zdnet.co.kr/view/?no=20221207140123

▶https://www.cbinsights.com/research/report/artificial-intelligence-top-startups-2022/

▶https://www.prweb.com/releases/2022/9/prweb18925036.htm

▶https://www.prweb.com/releases/twelve_labs_launches_transformative_ai_powered_video_search_platform/prweb18556666.htm

[유의 사항]

• 이력서 또는 경력기술서에 해당 포지션의 경력 사항을 최대한 구체적으로 상세히 기재해 주시기 바랍니다.

• 그 외 추가로 제출하시고자 하는 자료(e.g. 연구개발 포트폴리오 등)는 careers@twelvelabs.io 로 보내 주셔도 좋습니다.

• 필수 사전질문 답변은 이력서 뒤에 기재하여 주시거나, 위 추가 자료를 보내주실 때 메일 본문에 기재해 주셔도 됩니다.

• 지원 서류는 개별 PDF 파일로 제출해 주시기 바랍니다.

• 제출하신 지원서 내용이 차후 허위로 판명될 경우 입사가 취소될 수 있습니다.

▶ 홈페이지: https://twelvelabs.io/

▶ 공식 링크드인 채널: https://www.linkedin.com/company/twelvelabs/

▶ 공식 트위터 채널: https://twitter.com/twelve_labs

▶ 커리어 노션 페이지: https://careers.twelvelabs.io

채용 관련 궁금한 점이나 문의사항이 있으신 경우에는 아래 이메일 주소로 연락 주시기 바랍니다.

▷ careers@twelvelabs.io

Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. By taking a contrarian approach, we believe our technology can solve some of the most pressing problems facing the industry. Based in London, the company was founded by William Tunstall-Pedoe, best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.

The company has raised a large ($20m) seed round reflecting the excitement investors have in the technology, team and potential of the business. We are looking to build a world-class technology team to realise the extraordinary possibilities of what we are doing.

As an Applied Scientist joining Unlikely AI, you will be working the full project lifecycle: from literature to POC to production. You will have a key role in delivering products, starting with literature review, creating proof of concepts applying the latest Machine Learning techniques, collaborating with colleagues to implement and test your ideas, and helping deliver your solutions to production. The role is not limited to a specific field, but our current areas of interest include LLMs and Reinforcement Learning.

As an Applied Scientist working for Unlikely AI, you will:

Convert cutting edge research into real products

Design, build and experiment with cutting edge technologies

Drive the design, development, and execution of self-driven research projects

Write software that is built and deployed in production systems

Communicate complex solutions to colleagues

Analyse & inspect large scale datasets

Required:

2+ years of hands-on experience in deep learning

Deep knowledge of machine learning fundamentals

Strong coding skills in Python, including the use of pytorch or tensorflow

Enthusiasm to learn and get up to speed with cutting edge technologies which you may not already be deeply familiar with

Strong verbal and written communication skills

Cloud (AWS, GCP)

Data analysis skills

Desirable:

Experience utilising & deploying transformer models

Use of Python libraries that encourage best practice such as pytest, pylint, black etc

ML Ops

Docker, K8s

Start-up experience

Please note this role is not a pure research role and does not involve the creation of academic literature, but you should be very comfortable with reading and utilising academic papers and applying these concepts in your work.

Location:

We are based in London. After two years of operating completely remotely during COVID, we are now operating a hybrid regime with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom.

Compensation:

Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.

Equal Opportunities:

We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.

System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Principal Machine Learning Scientist supporting the AI Automation & Optimization team.  This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience designing and building algorithms to automate and optimize planning and decisioning for complex dynamic systems with imperfect information.  You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, AlphaStar, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk. 

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have:

• Provide both hands-on/individual contributor support and technical thought leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
• Deploy and test promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved ML driven products and capabilities
• Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
• Maintain expert knowledge in computer science, machine (and deep) learning, data mining, reinforcement learning, large-scale robust optimization techniques and more
• Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
• Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
• Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
• Coach and mentor data scientists to elevate the talent bar across System1 

• Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
• 5+ years of experience researching & developing algorithms for intelligent automation and optimization systems
• Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning and deep learning techniques
• Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
• Hands-on experience building ML driven products
• Experience leading technical research and production grade development efforts
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) 
• Strong functional programming development skills (preferred)
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Experience mentoring and coaching junior team members

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events 
• #BI-Hybrid
• #BI-Remote
• #LI-Remote
• #LI-AW1

The U.S. base salary range for this full-time position is $164,500  -  $292,000  + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely.  System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.

🙌 Who are we?

-A commercial open-source company that empowers businesses and developers to create cutting-edge neural search, generative AI, and multimodal services using state-of-the-art LMOps, MLOps, and cloud-native technologies

- Founded in Feb. 2020, raised $37.5M in 20 months. Now a global team of 65 with three offices: Berlin (HQ), Shenzhen, and Beijing.

- One of the high-valued & high-potential AI startups in the world, featured on Forbes DACH AI30 2020, CBInsights AI 100 2021 & 2022.

✨ Who do we want?

- You are passionate about multimodal intelligence and making it accessible to everyone.

- You want to work with the latest technologies and are fascinated by AI/ML.

- You are a fast learner and a team player and enjoy working in an async, distributed environment.

- You are proactive and take ownership of your projects.

- You have excellent communication skills in English.

💁 About this position

Jina AI  is seeking a talented and experienced Principal Research Scientist to join our team and help drive the development of groundbreaking AI technologies.

As a key member of our research team, you will focus on the design and implementation of LLMs such as GPT, BERT, and Transformer architectures, and multimodal models in resource-constrained settings, including on-prem, privacy-preserved, and low VRAM environments. This role is crucial to our mission to innovate and make breakthroughs in the AI industry.

Responsibilities

• Conduct cutting-edge research in LLMs, multimodal models, and resource-constrained settings, contributing to the company's overall research agenda.
• Develop and implement novel algorithms, techniques, and models using state-of-the-art approaches such as fine-tuning methods, federated learning, and knowledge distillation.
• Collaborate with the research team, as well as external partners, to enhance our research capabilities and drive innovation.
• Publish research findings in top-tier conferences and journals such as NeurIPS, ICML, and ACL, and present at industry events to showcase our advancements and maintain our position as an industry leader.
• Provide technical guidance and mentorship to junior researchers and engineers, fostering a culture of collaboration and continuous learning.
• Stay up-to-date on industry trends, competitor activities, and emerging technologies to ensure our research remains relevant and cutting-edge.

• PhD in Computer Science, Artificial Intelligence, or a related field.
• 7+ years of experience in AI research, with a focus on LLMs and multimodal models.
• Strong track record of published research and conference presentations in relevant fields, particularly at top-tier conferences such as NeurIPS, ICML, and ACL.
• Proficient in Python, TensorFlow, PyTorch, and other relevant AI and machine learning frameworks.
• Experience with advanced techniques in fine-tuning, federated learning, and knowledge distillation for LLMs and multimodal models.
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
• Excellent communication and collaboration skills, with experience mentoring and guiding junior team members.

😊 Benefits & Perks

💰 Competitive salary & stock options

🌎 Multi-cultural & diverse team

🎓 Numerous opportunities to present/attend top AI/OSS/industry conference

🦄 Rapid career development opportunities alongside the company

🏢 Central office in downtown Berlin, San Jose, Shenzhen, Beijing

⛱️ Free snacks & drinks, monthly team events, flexible working hours, home office options

💻 Macbooks & top-notch equipment

💼 Hiring Process

Candidates can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process. 

- The first round is the CV screening, candidates will receive an email that contains a link for booking the next round. This process takes a maximum of one week.

- Qualified candidates will be invited to schedule a 30-minute screening call specifically on Zoom with one of our global recruiters. For engineering candidates, after this interview candidates will receive an email and be asked to complete an offline code challenge. On average the candidates can finish it in 30 minutes.

- Next, candidates will be invited to schedule Peer Interviews with team members from the relevant team. There are two rounds of Peer Interview, 1st is Technical Peer Interview and the 2nd is Team Peer Interview. For engineering candidates, the team will examine the quality of the offline challenge as well as you fundamental knowledge and coding skill during the Technical Peer Interview; one should also expect a live-coding challenge in 10 to 15 minutes. As long as candidates passed the Technical Peer Interview, they will be invited to talk with specific Team Lead in the Team Peer Interview stage. The interview will be more relevant to practical problem solving.

- Finally, candidates will be invited to schedule a 30-minute interview with CXO.

We will collect the feedback from all interviewers and make a decision in a maximum of two weeks (on average it takes 5 working days). Then the candidate will be invited to another 15-minute call with our recruiters to discuss the terms of the offer.

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution? We should talk.

Do you believe in the missions of intelligence agencies? Are you interested in building state-of-the-art NLP models and solving complex technical challenges? Do you want to be a part of our journey to shaping the future of Automated Customer Service?

If you are interested in working on some of the most challenging technical and programmatic issues, we would love to discuss with you the exciting work and career opportunities at Netomi.

As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.

Job Responsibilities:

• Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements.
• Analyze large datasets and develop models that can be used to make predictions, generate responses or summaries, identify patterns, etc.
• Develop and improve existing models to increase accuracy, efficiency, and effectiveness.
• Work closely with cross-functional teams to identify and prioritize business problems, and develop solutions to address them.
• Communicate findings and insights to stakeholders in a clear and concise manner.
• Stay up-to-date with the latest developments in machine learning, NLP/LLMs, deep learning, and related technologies.

• Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science, Engineering, or a related field.
• 2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models.
• Strong programming skills in Python or other relevant programming languages.
• Experience with machine learning libraries such as TensorFlow, PyTorch, or Keras.
• Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.
• Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques.
• Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.
• Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies.
• Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation.
• Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development.
• Strong problem-solving and analytical skillsExcellent communication and collaboration abilities.
• Optional: Experience with big data platforms such as Hadoop or Spark.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.