Top New York City Jobs

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

As a Solutions Architect at Cohere, you will play a significant role in growing the business and have a great deal of autonomy when it comes to technical pre- and post-sales. Your responsibilities will include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.

In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.

Please Note: We have offices in Toronto, Palo Alto and London but embrace being remote-first! We are looking for candidates based in Canada or United States for this role, with a preference for candidates based in New York City.

A typical day at Cohere might include:

• Leading the technical talk track on customer calls
• Deep dives on customer problems and Cohere technology
• Designing novel enterprise solutions with bleeding-edge NLP technology
• Facilitating customer evaluations and PoC
• Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere
• Collaborating with the Product and Engineering teams to ensure our offering match the customers’ desires
• Working closely with our partners to develop a strategy for enabling and accelerating their customers

• 5+ years of customer-facing  technical pre/post sales Solutions Architect experience
• 5+ years working with Sales to drive GTM motions 
• 2+ years architecting or deploying cloud-native solutions
• A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's
• Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM)
• Comfortable working with Python and Jupyter Notebooks
• Comfortable using version control/Git
• Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences
• High tolerance for ambiguity.
• You can identify and implement high-impact processes in unstructured environments.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

About The Role

Reality Defender seeks audio researcher engineers to join the R&D team. You’d work on product-oriented research for synthetic (deepfake) audio detection, and tackle cutting-edge deep learning and audio problems with an emphasis on classification and adversarial methods.

Responsibilities

• Develop and train deep learning models for classification problems.
• Propose and publish novel solutions to improve synthetic audio detection.
• Collaborate with fellow scientist and engineers across the organization.

• Experience (academic or industry) with Audio Synthesis, Deep Learning, and Signal  Processing for (1) Neural networks CNNs, RNNs, Autoencoders, etc., and transfer learning, (2) Generative deep learning method, esp. for audio synthesis, (3) Audio classification, and signal processing techniques.
• You can independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute (like AWS).
• You have implemented or published research papers from/at top academic conferences, such as InterSpeech, ICASSP, etc. on a modern deep learning stack for voice synthesis applications.
• Team player with a positive attitude, sincerity, and good communication skills.
• Nice to have: You ideally hold an MS, or PhD degree in Computer Science, Data Science, or equivalent experience.
• [Large Language Model (LLM) Ethics] RD does not allow the use of Large Language Models or online chatbots such as ChatGPT in any part of the interview process -- video calls, take-homes, etc.

About Reality Defender

Reality Defender is a for-profit company that works on applied research and products, centered around detection of synthetic media.

About The Role

Reality Defender seeks computer vision research engineers to join the R&D team. You’d work on product-oriented research for synthetic (deep fake) image and video detection, and tackle cutting-edge deep learning and computer vision problems with an emphasis on classification and adversarial methods.

Responsibilities

• Develop and train deep learning models for classification problems
• Propose and publish novel solutions to improve synthetic image and video detection
• Collaborate with fellow scientist and engineers across the organization

• You have academic or industry experience with: (1) Neural networks - CNNs, ViTs, sequence modeling (2) Deep generative learning, esp. for image generation (3) Image classification, ensemble modeling, transfer learning (4) Familiarity with image compression, video codecs, and image forensics.
• You have implemented, published and want to publish research works at top computer vision research venues CVPR, ICCV, ECCV, etc. 
• You can independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute (like AWS).
• Team player with a positive attitude, sincerity, and good communication skills.
• Nice to have: You ideally hold an MS, or PhD degree in Computer Science, Data Science, or equivalent experience.
• [Large Language Model (LLM) Ethics] RD does not allow the use of Large Language Models or online chatbots such as ChatGPT in any part of the interview process -- video calls, take-homes, etc.

About Reality Defender

Reality Defender is a for-profit company that works on applied research and products, centered around detection of synthetic media.

**Must have at least a BS in Computer Science and at least 3 years of work experience after graduation from university.

**No firms - we can not work with firms due to regulatory reasons.

**Please do not apply for this role if you do not fit these requirements.

Reality Defender is a rapidly growing technology startup building the future of deepfake detection technology.

Reality Defender seeks a research engineer data. You’d work on product-oriented dataset building and auto-labeling for synthetic (deep-fake) media (image, video, audio) detection, and tackle cutting-edge deep learning, audio and computer vision data problems with an emphasis on classification and adversarial methods.

Responsibilities

• Build scalable datasets and their delivery pipelines
• Develop at-scale data extraction, cleaning, and labeling, including human annotation methodology
• Build auto-labeling deep solution for label(s) automation
• Closely interface with R&D team for machine (deep) learning model training and evaluation
• Define metrics for dataset imbalance, visualization, and data sampling
• Automate data quality control and content moderation

• Proficient in software development, esp. Python
• Interest in data exploration, visualization, cleaning, and analytics for real-world data modelingFamiliarity with audio and video file formats, and codecs
• Solid understanding of linear algebra, statistics and deep learning concepts
• Experience working with very large databases and deep learning APIS, for example, Pandas, PyTorch, etc.
• Smart, driven, and passionate about helping Reality Defender change the world
• Team player with a positive attitude, sincerity, and good communication skills 

• Join our team and help us develop next-generation technologies that will protect billions of users against multimodal misinformation and disinformation
• [Large Language Model (LLM) Ethics] RD does not allow the use of Large Language Models or online chatbots such as ChatGPT in any part of the interview process -- video calls, take-homes, etc.

About The Role

Reality Defender seeks Research Scientists in Computer Vision to join the R&D team. You’d work on product-oriented research for generative image and video detection, and tackle cutting-edge deep learning and computer vision problems with an emphasis on classification and adversarial methods.

Responsibilities

- Develop and train state-of-the-art deep learning models for classification problems in computer vision and image synthesis.

- Propose and publish novel solutions to improve generative AI detection.

- Collaborate with fellow scientist and engineers across the organization.

About You

- PhD degree in Computer Science with relevant publications.

- You have academic or industry experience with atleast three: (1) Neural networks - CNNs, ViTs (2) Deep generative learning like GANs and Diffusion (3) Signal-processing, and image forensics or (4) Temporal modeling and image/video codecs.

- You have implemented, published, and want to publish research at top computer vision research venues CVPR, ICCV, ECCV, etc. 

- You can independently implement, and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute (like AWS).

- Team player with high EQ, sincerity, and good communication skills.

[Large Language Model (LLM) Ethics] RD does not allow the use of Large Language Models or online chatbots such as ChatGPT in any part of the interview process -- video calls, take-homes, etc.

About Reality Defender

Reality Defender is a for-profit company that works on applied research and products, centered around detection of synthetic media.

If you've ever dreamt in code and danced with data divine,

A master of machine learning, weaving algorithms so fine,

From Scikit-learn to Python, TensorFlow to PyTorch,

Juggling libraries and models, like a juggler's fiery torch,

If you've tamed the wild datasets, wrangled them with grace,

Preprocessed and feature-engineered, every challenge you did face,

From supervised to unsupervised, you've conjured models galore,

And with evaluation metrics, their performance you did explore,

If you've battled big data monsters, with Spark’s might,

Scaling up your solutions, from dawn to starry night,

And in your quest for knowledge, you've ventured far and wide,

Exploring the vast realm of AI, with curiosity as your guide,

If you can charm both techies and muggles, with insights that astound,

Translating complex incantations, making magic all around,

Then, my friend, it's crystal clear, you're the one we're dreaming of,

Cast your spell, send us your resume and cover letter full of love.

About Us:

At Qloo, we are dedicated to harnessing the power of data and machine learning to drive innovation and solve complex problems. Our team is composed of top-notch engineers and scientists who are passionate about creating data-driven solutions that make a lasting impact. We are currently seeking an experienced Data Scientist to join our growing team and help us advance our mission.

Job Description:

As a Data Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and model development to the deployment and monitoring of machine learning systems.

Responsibilities:

+ Develop, test, and deploy machine learning models and algorithms.

+ Conduct data analysis, preprocessing, feature engineering to optimize the performance of NLP and machine learning models.

+ Collaborate with cross-functional teams, including software engineers and data engineers to integrate natural language processing and ML models into production systems.

+ Evaluate and monitor the performance of ML models.

+ Keep up-to-date with the latest developments in data science and machine learning to identify new opportunities and techniques.

+ Present findings and insights to stakeholders, both technical and non-technical, in a clear and concise manner.

+ Contribute to the development of best practices and guidelines for data science and machine learning within the company.

Qualifications:

+ Bachelor’s degree or higher (Ph.D is a plus) in Computer Science, Statistics, Engineering, Applied Mathematics, Physics or a related field.

+ Proven experience in data science and machine learning.

+ Proficiency in Python and ML & DL frameworks (TensorFlow, PyTorch, or Scikit-learn).

+ Deep understanding of machine learning algorithms and experience with various model validation and evaluation metrics.

+ Excellent analytical and problem-solving skills.

+ Familiarity with big data technologies such as PySpark or similar tools is a plus.

+ Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and present complex ideas to both technical and non-technical audiences.

We Offer:

+ Competitive salary and benefits package, including health insurance, retirement plan, and paid time off.

+ Opportunities for professional development and growth.

+ A collaborative and supportive work environment: Experience a culture that fosters teamwork, open communication, and mutual respect, where your ideas are valued and your contributions recognized.

+ Work-life balance: We prioritize a healthy work-life balance, offering flexible work arrangements, remote and hybrid work options, and encouraging employees to maintain a well-rounded lifestyle.

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

Forward Deployed Machine Learning Engineers (FDMLEs) work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.

In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!

As an FDMLE, you will:

- Own and build large new areas within our product.

- Work across backend, frontend, and customize Large Language Models.

- Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.

- Work across the entire product lifecycle from conceptualization through production.

The FDMLE career opportunity may be a good match for you if you have:

- 3+ years of model training, deployment, and maintenance in a production environment.

- Strong skills in NLP and deep learning.

- Experience scaling products at hyper-growth startup.

- Strong written and verbal communication skills.

- Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.

Nice to have skills/experiences:

- Experience improving LLM performance for custom domains via fine tuning or RLHF.

- Experience in Information Retrieval systems for document question answering.

- Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).

- Published research in areas of machine learning at major conferences and/or journals.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

Forward Deployed Engineers (FDEs) work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.

In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!

As an FDE, you will:

- Own and build large new areas within our product.

- Work across the backend, frontend, and interact with Large Language Models.

- Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.

- Work across the entire product lifecycle from conceptualization through production.

The FDE career opportunity may be a good match for you if you have:

- Proficiency in one or more of Go, Python, Node, React, Next.js 

- Experience building ML infrastructure and AI-powered solutions.

- Experience scaling products at hyper-growth startups.

- Strong written and verbal communication skills.

- Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.

Nice to have skills/experiences:

- Experience building LLM applications using tools such as Langchain.

- Experience in Information Retrieval systems for document question answering.

- Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Reality Defender (YC W22, TC Disrupt 22, SXSW 23 Pitch Winner) is a rapidly growing technology startup building the future of deepfake detection technology.  You will help the Reality Defender team in creating an AI-first state-of-the-art scalable platform that supports multiple AI and deep learning models processing thousands of user uploaded images, audio and videos per day in real time.

We are seeking an experienced Senior Strategy & Sales professional to join us. In this role, you will be responsible for developing and executing the company's sales strategy, identifying new business opportunities, and growing our customer base. You will work closely with the executive team to set revenue targets, develop pricing strategies, and drive overall business growth.

Responsibilities

• Develop and execute the company's sales strategy to meet revenue targets and drive business growth
• Identify new business opportunities and potential clients through market research and outreach
• Build and maintain relationships with key customers and stakeholders
• Work with the executive team to develop pricing strategies and ensure profitability
• Analyze market trends and adjust sales strategies accordingly
• Collaborate with other departments such as marketing, R&D and Engineering to ensure alignment and successful execution of sales strategies

• Bachelor's degree in business, marketing, or a related field; MBA preferred
• Minimum of 5 years of experience in sales and business development, preferably in AI/Software field
• Proven track record of meeting or exceeding sales targets and driving business growth
• Strong leadership skills with experience managing a team of sales professionals
• Excellent communication and interpersonal skills
• Analytical and strategic thinker with the ability to analyze market trends and develop effective sales strategies
• Self-motivated with the ability to work independently and as part of a team
• [Large Language Model (LLM) Ethics] RD does not allow the use of Large Language Models or online chatbots such as ChatGPT in any part of the interview process -- video calls, take-homes, etc.

• The position reports into the executive team.