Top Palo Alto Ca Jobs

About Instrumental:

Manufacturing represents half of the world’s GDP, but 20 cents of every dollar spent is wasted on things like scrap, rework, product returns, mistakes, experiments, and underutilized human resources. Put simply: solving problems in manufacturing is too hard, too inefficient, and too analog.

Instrumental is a software company with the mission of eliminating half of that unnecessary waste by accelerating product maturity in manufacturing. We empower hardware companies to find and fix the issues that drive waste in their factories through artificial intelligence and unprecedented data access. Thanks to Instrumental, startups and Fortune 500 hardware companies alike are increasing yields, accelerating time-to-market, and reducing the frequency of recalls and production delays.

About the Role:

As a member of Instrumental’s Design team, you’ll play a vital role in helping us create a new category of software to accelerate the transformation of the manufacturing industry. By leveraging partnerships with product and engineering, you will build tools that give hardware engineers the superpowers to find and fix the issues that drive real-world waste. 

The best person for this role has experience driving either the full lifecycle of key critical pieces of enterprise software design, from up-front research, insights, and strategy, through to ideation, prototyping, and testing, and to delivery of final designs, to build engaging and impactful tools. 

We’re looking for someone who can do 20 - 40 hours per week, for a minimum of three months.

What You'll Be Doing:

• Solving complex UX challenges, empowering hardware engineers to find and fix manufacturing issues by leveraging advanced AI through user-friendly interfaces.
• Creating sketches, wireframes, high-fidelity comps, prototypes, and written documentation to support design ideation, exploration, communication, and implementation.
• Collaborating with Product & Engineering to guide the product strategy through a UX lens.

• Has 2-3+ years of UX design experience, preferably working on B2B enterprise applications.
• Is self-motivated and able to drive a project forward without close supervision.
• Engages with the product strategy and vision, grounding their specific design explorations and decisions in clearly articulated rationales which advance our strategic priorities.
• Has a portfolio that demonstrates strong interaction and visual design capabilities.

• Experience creating UX solutions aimed at serving a complex specialty (e.g. engineers, scientists, or medical professionals), especially if it had a heavy AI or analytics component.
• Experience working with the manufacturing industry, either on a software solution within the space, or working for a high-volume consumer electronics manufacturer.
• Voracious curiosity - you want to know how things are made, why they’re made that way, and how they could be made better.

When You Apply:

Please submit a link to your design portfolio. This is required for consideration for this position. We’re a growing team that consistently works collaboratively, is supportive of each other, and is highly energized by the opportunity for large impact. We actively work to promote an inclusive environment, valuing passion and the ability to learn. You’re encouraged to apply even if your experience doesn’t precisely match the job description!

The following is a representative annual base salary range for this position within the Bay Area: $80-$84 / hr. In addition, job level & salary opportunity is evaluated through our interview process – we review experience, knowledge, skills, and abilities of each applicant.

All candidates must have an unrestricted right to work in the U.S.

About Moonhub

We're on a mission to enable human potential.

Moonhub is building the world's first AI recruiter. We believe talent and skills are universal, but the systems to identify them aren't. Moonhub solves this critical problem with the world's first conversational AI recruiter trained on billions of people datapoints to help hiring managers and organizations take control of the hiring process, working with an AI to find and retain the best talent for their teams at a fraction of the cost.

Core to our solution are large language models and conversational AI features that power our AI recruiter. Our team consists of ex Stanford Computer Science PhDs and MBAs, highly cited NLP researchers on ground-breaking papers like Bloom / Superglue / etc, papers, ex Twitter Cortex and Meta ML leads and more world-class AI and HR experts.

We are building the future of equitable opportunity. In line with this, we believe in a diverse and inclusive team where everyone is welcome. 

Your Role

We are looking for full-time interns this summer to work on conversational search, from designing and running experiments based on product needs, collecting and cleaning data, and deploying them in production. We are looking for entrepreneurially-minded people who identify as both a scientist and engineer, and want to apply state of the art research to people search.

Moonhub is a remote / hybrid company with a strong emphasis on engineering and product at the heart of teams.

What You’ll Do

- Design and run experiments on how to best finetune our in-house LLM models. 

- Deploy these custom models end-to-end alongside our ML engineering team.

- Build new MLOps tools from 0 > 1 inside our existing platforms. 

- Work closely with leadership and customers to understand large-scale recruiting and HR pain points, and develop state-of-art machine learning solutions for them. 

- Write production ready code with speed, cost, and usability in mind

- Have the opportunity to work on publications and patents. 

- Contribute to building a culture where everyone is an owner. We ship fast and build trust as a team. 

Skills & Qualifications 

- Experience with finetuning large language models

- 2+ years of experience working directly with large language models

- Deep knowledge of machine learning frameworks such as Pytorch and Deepspeed. 

- (Highly preferred) at least one accepted paper at a top ML conference

- Strong background in programming languages such as Python and C++

- Entrepreneurial spirit and willingness to adjust to dynamic customer needs 

- Desire to grow quickly by going above and beyond expectations  

Moonhub is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. 

About Got It AI

Got It AI is transforming the human-to-human and human-to-machine conversational ecosystem by developing the world's first fully autonomous conversational AI system via leveraging state-of-the-art technologies. Got It AI, led by an experienced leadership team with a proven track record, is making a positive difference in a variety of industries, including education, finance, telecom, and e-commerce, by deploying multiple AI applications. We are looking for individuals who are enthusiastic about developing revolutionary technology while having fun.

About Role

At Got It, Machine Learning Engineers and Scientists develop cutting-edge technology and integrate it into our conversational AI platform. Our engineers and scientists bring fresh ideas from a diverse set of areas, including natural language processing, speech, and conversational AI, cloud computing, large-scale system design, artificial intelligence, and more. We need our team to be enthusiastic and versatile, display leadership, and take on problems across the full stack.

As an ML research engineer, you would work with a fast-paced team on mission-critical R&D projects toward specific, and ever-evolving, business goals. With your technical expertise, you will get the opportunity to work on state-of-the-art Conversational AI and NLP research such as Reinforcement Learning, Zero-shot, and Few-shot Learning, Transformers based large-scale Language Models, No Code AI, Language Understanding, Natural language generation, Information Retrieval, and Speech Recognition.

This is a contract-to-hire position.

Minimum requirements:

• Master's degree in Computer Science or related field or equivalent practical experience
• Strong design and development skills and 3+ years of experience in the software industry
• 2+ years of experience with one or more of the following: Natural Language Processing, Conversational AI, Speech Recognition, Text Understanding, Classification, Pattern Recognition, Recommendation Systems, Computer Vision, Reinforcement Learning, Ranking Systems, or similar
• Experience with one or more general-purpose programming languages including but not limited to: Python, Java, or C/C++
• Experience with relevant technologies (e.g., PyTorch, Tensorflow, machine learning libraries)
• Experience working effectively with science, data processing, and software engineering teams
• Excellent written and spoken communication skills
• Entrepreneurial spirit combined with strong architectural and problem-solving skills

• Ph.D. or 4+ years of experience with specialization in one of the following areas: NLP, Conversational AI, or Machine Learning
• Research Publications

Uniphore is the global leader in Conversational Automation. Every day, billions of conversations take place across industries — customer service, sales, HR, education and more. Whether they are human to human, human to machine or machine to machine, conversations are at the heart of everything we do, and the new currency of the enterprise.

At Uniphore, we believe companies that best understand and act on those conversations will win. We have built the most comprehensive and powerful conversational automation platform that combines conversational AI, workflow automation, and RPA (Robotic Process Automation) with a business user-friendly-UX (User Experience) in a single integrated platform to transform and democratize customer experiences across industries.

We are introducing an exciting new opportunity for a Senior/Principal NLP Scientist for our Director, AI team who is interested in working on the next generation of “goal driven conversational models.” The mission of the team is to positively impact the customer service through machine learning applications.

The ideal candidate understands the fast pace of a start-up environment  and has a passion for topics that are on the frontier of research. We are exciting about the opportunity to collaborate throughout the company as well as to mentor, train and partner with the other members of the Data Science team.

Overview of the role:

• Lead and own the R&D innovation in NLP across the whole company, and in different geographies  
• Effectively prioritize the innovation work, based on guidance from product 
• Maintain a healthy balance within the team between research, product development, and product integration 
• Think big; motivate and inspire the team to pursue bold goals and take pride in becoming one of the leading conversational AI organizations in the world 
• Set a strategic direction for data identification, collection and qualification activities 
• Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions 
• Connect with the academic world, establish partnerships and collaborations 
• Encourage the team to publish results to major conferences, but without sacrificing product development
• Mentoring and training other team members on system design, machine learning modeling, and coding techniques relevant to NLP

• Master or PhD in NLP or Computer Science 
• Deep knowledge of modern NLP ML-based, with special focus on transformers and large language models technologies 
• 7+ years of industrial research experienceProven hands-on experience with LLM building, tuning and optimization for production use 
• Hands-on experience in design and code review, ability to drive technology evaluations and to adopt metric-based plans and roadmaps 
• Proven ability to manage a distributed team of researchers and engineers, resolve conflicts, be inclusive and comfortable with a fast-growing environment  
• Reasonably well published 

Uniphore 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.

For more information on how Uniphore delivers business value using Conversational Automation, please visit www.uniphore.com

All applicants - to review our privacy notice, please click here

Information regarding recruiting and phishing scams: 

Employment offers will always be made by a Uniphore hiring manager or Talent Acquisition team member with a @uniphore.com email address only. We will never text you about an employment opportunity, interviews or employment offers, and we do not make job offers after only one interview. Additionally, we will never ask you to provide funds for onboarding, supplies or anything else, nor we will ask you to submit your personal information (date of birth, passport details, banking information, social security number, etc.) as part of the interview process. If you are receiving an employment inquiry or employment offer from a non Uniphore.com email address, please assume it is spam. If you believe you have been a victim of a phishing or false employment scam, you may want to report this incidents to the FBI iC3, or visit the Department of Homeland Security’s Cyber Smart website to learn how to report such scam.

We are seeking an AI Technology Leader with a deep understanding of AI, deep learning, prompt engineering on various LLMs, and computer science principles to join our team. Your primary responsibility will be to develop and optimize MathGPT as a scalable AI tutor for STEM subjects, ensuring students gain mastery over the subject matter.

The Core Job

• Develop and fine-tune AI models to create a seamless and effective online tutoring experience
• Collaborate with ML engineers, software engineers, and data scientists to innovate within the AI tutoring field
• Design dynamic prompts to enable concept teaching, problem-solving walkthroughs, personalized assistance, etc
• Stay current with AI advancements and implement best practices in our technology
• Provide technical guidance and mentorship to team members

• Expertise in AI, deep learning, LLMs, prompt engineering, and web based product development
• Solid understanding of computer science principles
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Leadership experience in managing technical teams

• Experience or familiarity with online tutoring and understanding how an excellent online tutor interacts with students
• Passion for STEM education and a desire to make a positive impact on the learning experience

About Mashgin

At Mashgin, we are developing the future of checkout experiences. We aim to reduce the friction between customer desires and their ability to be on their way. 

In May 2022, Mashgin closed a Series B funding round at a $1.5B valuation. We are backed by some of Silicon Valley’s leading investors including Matrix Partners, NEA and Y Combinator. Our ecosystem is anchored by the only 3D computer vision and deep learning based checkout system in the world. We have 2,000+ locations world wide with customers across a wide spectrum of verticals including the NFL, MLB, Circle K, ampm, Aramark and Compass Group.

We value autonomy of ones work, a culture of respect for one another, and building products with empathy for our customers.

Position Summary

Mashgin is looking for a smart, driven engineer who’s fascinated by the latest developments in ML/AI and is looking for the best areas to apply them. You’ll work on a small dynamic team to design and implement state of the art deep learning techniques for Mashgin products. We have the unique opportunity to gather large, proprietary datasets from multiple industries where critical real-world problems have been identified. It will be you and your team’s job to turn this data into automated solutions.

You Will Be

• Developing solutions for real-world computer vision problems
• Working with the product team to come up with innovative ways to collect large data sets for training AI systems or generating equivalent synthetic data
• Finding the optimal balance between doing longer term research and applying research results to production code
• Researching and building state-of-the-art ML/CV algorithms to analyze 2D/3D image data

• 5+ years relevant coding experience
• B.S. or higher in Computer Science or related field
• Strong background in Machine Learning or Computer Vision
• Excellent knowledge of either Python or C/C++

• MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
• Strong understanding of ML techniques such as CNNs, supervised and unsupervised learning, optimization techniques, etc
• Experience with one or more of popular Deep Learning frameworks such as Caffe, TensorFlow, Theano
• Experience in a fast-paced work environment, shipping quality code quickly and iterating

• An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
• Excellent health, dental and vision insurance for you and your dependents
• 401k plan
• Flexible PTO policy
• Competitive salary and options in a small, rapidly scaling company

Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. 

Who we are

Fizz is a private and authenticated platform designed to revolutionize the social fabric of communities, starting with colleges. After verifying a university email address, students use Fizz to post questions, memes, polls, and chat directly with other verified students, all while maintaining full control of their identity and privacy. Fizz communities are safe, authentic, and inclusive, made possible through community-based moderation.

Launched by two Stanford dropouts, Fizz is currently expanding into colleges all across the US. In a time when social media is plagued by curated highlight reels and lack of authenticity, Fizz is on a mission to redefine the definition of a true social network.

What we’ve done

We first launched Fizz at Stanford in July 2021 and have since seen >95% of undergraduates join the app, half of which use Fizz every day. Since then, we have raised over 16M from NEA, Owl Ventures, and Lightspeed, built a rock-solid engineering team with decades of experience at top tech companies, and expanded Fizz to be the dominant community platform at 70+ colleges.

Where we’re going

Our near term goal is to expand to all US universities by the end of the 2023-2024 academic school year. To get there, we give engineers at Fizz a lot of autonomy and ownership of our product. Some of the things you can expect to work on include:

- Building and maintaining scalable human in the loop AI community moderation systems

- Utilizing NLP systems to automatically categorize and target content to users

- Conducting analysis on larger amounts of user-generated content and using data to drive product decisions

We are open to candidates of all experience levels who are passionate about being an early employee and want to help drive our company forward.

Responsibilities

• Design and implement machine learning models and algorithms to solve specific user problems
• Develop in-house human in the loop moderation systems to detect and prevent inappropriate content and behavior on our platform
• Develop and maintain data pipelines and infrastructure to support machine learning workflows
• Work closely with the front-end team to implement content moderation and content recommendation systems
• Keep up-to-date with emerging trends and best practices in machine learning and AI development

• Strong understanding of machine learning techniques and algorithms (natural language processing, generative AI, content recommendation)
• Experience as a lead engineer for at least one large scale system that supports at least a million users using a distributed system.
• Familiarity with designing RESTful APIs that are scalable, reliable, and secure
• Strong grasp on product and ability to develop a product that college students will use and love.
• Passion for building intelligent systems that can improve the user experience and safety of our platform

• Experience working with User-Generated Content or a Trust & Safety team.
• Experience with TypeScript, Firebase, or Google Cloud Platform.

Fizz is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant, candidate, or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military or veteran status, genetic information or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances.

About Got It AI

Got It AI has transformed the human-to-human and human-to-machine conversational ecosystem by developing the world's first fully autonomous conversational AI that leverages state-of-the-art technologies such as Generative AI and Large Language Models. Got It AI, led by an experienced leadership team with a proven track record, is making a positive difference in a variety of industries, including education, finance, and e-commerce, by deploying multiple AI applications. We are looking for individuals who are enthusiastic about developing revolutionary technology while having fun.

Role

At Got It, Machine Learning Engineers and Scientists develop cutting-edge technology and integrate it into our conversational AI platform. Our engineers and scientists bring fresh ideas from a diverse set of areas, including natural language processing, speech, and conversational AI, cloud computing, large-scale system design, security, artificial intelligence, UI design, and more. We need our team to be enthusiastic and versatile, display leadership, and take on problems across the full stack.

As an ML intern, you would work with mission-critical projects. With your technical expertise, you will get the opportunity to work on state-of-the-art Conversational AI and NLP research such as Generative AI, Unsupervised and Zero-shot Learning, Transformers based Large Language Models, No Code AI, Language Understanding, Natural language generation, Information Retrieval, and Speech Recognition.

Minimum requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
• 2+ years of domain expertise in Machine Learning, Generative AI, NLP, or Artificial Intelligence
• Experience with one or more general-purpose programming languages including but not limited to: Python, Java, or C/C++
• Strong software design and development skills and experience working effectively with science, data processing, and software engineering teams
• Proven track record of innovation
• Excellent written and spoken communication skills
• Experience with relevant technologies (e.g., PyTorch, Tensorflow, machine learning libraries)
• Entrepreneurial spirit combined with strong architectural and problem-solving skills

• Ph.D. with specialization in one of the following areas: NLP, Generative AI, Conversational AI, or Machine Learning
• 5+ years of experience with one or more of the following: Natural Language Processing, Conversational AI, Speech Recognition, Computer Vision, Reinforcement Learning, Text Understanding, Classification, Pattern Recognition, Recommendation Systems, Ranking Systems, or similar
• Strong publication record

Harmony is an open and fast blockchain. We are building a Web3 platform for generative AI and machine learning. Developers use onchain tokens for micro-payments, smart contracts for market pricing, and zero-knowledge proofs for data privacy.

🚀 Building a (Rocket)Ship

We are a Day-1 startup. Blockchains are becoming the foundation of the global economy, yet their adoption is at only 1%. That means that you as a pioneer and developer are shaping the future with 10X impact. Harmony is a community-driven project, a network with hundreds of applications, and a team wearing crazy ambitions on their sleeves. Because the invincible summer awaits!

For engineers, we value your deep understanding of how bytes work. You are a tool maker, a system hacker, and a math nerd all in ONE. Your typical day involves prototyping a top-conference research paper, debugging and profiling in hexdecimal, or writing updates to coordinate asynchronously with tens of engineers in the open. Building a blockchain is like jumping off the cliff while assembling the plane engine on the fly – but, if you can thrive in chaos, why NOT?

For creatives, we approve your obsession with user experience. You are a product designer, a brand manager, and an industry analyst all in ONE. Your typical day involves studying what delights and what hurts through hard metrics, writing long-form narratives on the why's and the do's, or scrumming tasks for a product launch to iterate with millions of users. Building a community is like sharing your blue heart while keeping the culture alive for decades – but, if this is your dream of 50 years, start NOW?

💙 See Harmony’s Culture and Values on "Empathy, Passion & Excellence".

Responsibilities

• Deploy and optimize Stable Diffusion models from Civit AI or Hugging Face.
• Develop voice + text chatbots as Telegram web clients with crypto payments.
• Research on generative transformers for news curation, abstractive summarization.

• Specialized in cloud operations, system optimizations, or model compilers.
• No formal degree required, 0 to 3 years of working experience.
• 5 days full-time in office (Palo Alto, CA) and off-hour emergency.
• Exceptional communication and people skills.

About Moonhub

We're on a mission to enable human potential.

Moonhub is building the world's first AI recruiter. We believe talent and skills are universal, but the systems to identify them aren't. Moonhub solves this critical problem with the world's first conversational AI recruiter trained on billions of people datapoints to help hiring managers and organizations take control of the hiring process, working with an AI to find and retain the best talent for their teams at a fraction of the cost.

Core to our solution are large language models and conversational AI features that power our AI recruiter. Our team consists of ex Stanford Computer Science PhDs and MBAs, highly cited NLP researchers on ground-breaking papers like Bloom / Superglue / etc, papers, ex Twitter Cortex and Meta ML leads and more world-class AI and HR experts.

We are building the future of equitable opportunity. In line with this, we believe in a diverse and inclusive team where everyone is welcome. 

Your Role

This is a fast-paced role with extensive growth potential for a world-class machine learning engineer with extensive experience working with large language models. You will be on the core ML/ engineering team and work closely with our leadership, partners, and customers to build tools powered by LLMs used by people to atuomate recruiting. We are a company driven by our positive mission and social impact.

We are looking for individuals with deep ML experience, especially large language models, including but not limited to building production ML data pipelines, training large-scale NLP models, creating search and ranking systems, and more.

As a Founding ML Engineer you will develop state-of-the-art technologies that enable better and faster hiring for impactful institutions.

Moonhub is a remote / hybrid company with a strong emphasis on engineering and product at the heart of teams.

What You’ll Do

- Develop production ML/NLP systems powered by large language models

- Rapidly experiment with and iterate on LLM powered features with in-house recruiters

- Build new ML tools from 0 > 1 inside our existing platforms

- Work closely with leadership and customers to understand large-scale recruiting and HR pain points, and develop state-of-art machine learning solutions for them. 

- Write production ready code with speed, cost, and usability in mind

- Contribute to building a culture where everyone is an owner. We ship fast and build trust as a team. 

- Help lead Moonhub’s charge to be at the cutting-edge of technology through publications and patents. 

Skills & Qualifications 

- Experience with prompt engineering and large language models

- 4+ years of experience building production ML (and NLP) systems

- 2+ years of experience working directly with large language models

- Strong background in programming languages such as Python and C++

- Deep knowledge of machine learning frameworks such as Tensorflow and Pytorch

- Entrepreneurial spirit and willingness to adjust to dynamic customer needs 

- Desire to grow quickly by going above and beyond expectations 

US Applicants

- The minimum and maximum salary for this position is $120,000 to $200,000 in the US;

- This position is eligible for significant equity

Moonhub is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. 

At Gauss Labs we are looking for a passionate Machine Learning Engineer who will collaborate with scientists and engineers to improve manufacturing efficiency and reliability in IC manufacturing using data and artificial intelligence.

This role is responsible for implementing batch and online learning capabilities in our machine learning infrastructure. It is also responsible for capturing the lineage of our ML models as well as measuring and monitoring their performance.

Responsibilities

• Design, build, and maintain high availability, multi-tenant training, and inference system for many different content types, such as images and other sensor data
• Work closely with data scientists, micro-service developers, and data engineers in our Applied Research and Product Organizations to ensure efficient transfer of scalable solutions
• Implement seamless tracking of the lineages of data sets, transformations, feature sets, and hyper-parameters used during ML model training and inference
• Enable online learning and automated, continuous delivery of ML models
• Implement and deploy automated auditing systems to identify bias and other potential degradations of model performance
• Adapt and implement AI models to support real-world use-cases and satisfy production requirements as needed

• MS or Ph.D. in quantitative fields (CS, Statistics, Math, or Engineering)
• 7+ years of work experience as MLE, Data Scientist, or related job function
• Strong understanding of ML fundamentals and scaling methodologies (e.g., ability to implement an ML algorithm mathematical formulations in an efficient manner w.r.t. scalability, optimization and so on; understanding of ML loss functions, evaluation/validation methods, statistical testing and so on)
• Strong communication skills both written and verbally
• You are excited to learn, explore new problem areas, and apply your creativity to some of the most challenging and rewarding problems
• Familiarity with all aspects of the model development lifecycle
• Experience working with cloud products (AWS, GCP, or Azure)
• Proficiency in Python, and experience in C++
• Prior experience with MLFlow
• Knowledge of at least one build tooling system
• Track record of writing robust, readable, well documented, well tested, high-performance code.
• Experience with containerization, automated eval/testing, CI/CD, MLOps, and cloud services is a plus