Senior Member of Technical Staff, RAG

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?

At Cohere, our Members of Technical Staff are at the forefront of defining and shaping the future of AI-powered products. In this senior role, you will have the opportunity to translate cutting edge research into tangible, high-performance products that drive our enterprise forward. With one of the highest compute-to-engineer ratios in the world, we provide an environment where your ideas can flourish and be rapidly brought to market.

Please Note: We have offices in London, Toronto and New York but also embrace being remote-friendly in EMEA friendly timezones. 

• Lead a small, diverse team of engineers in designing, building, and scaling AI systems that underpin our suite of dev-centric enterprise products.
• Drive the development of language models that are not only high-performing and secure but also tailored to the unique needs of our diverse user base.
• Drive agent development in RAG, tool use, and language agents.
• Research and experiment with novel ideas on our supercomputer and data infrastructure, ensuring our products remain at the forefront of the industry.
• Collaborate with top researchers, engineers, and annotators to create and evaluate data for post-training LLMs, ensuring our products are of the highest quality and performance.
• Engage with the latest AI and deep learning research, staying up to date with leading conferences such as NeurIPS, ICLR, and AAAI.
• Leverage product data to understand usage patterns and identify areas for improvement, ensuring our products remain relevant and competitive.
• Work closely with leadership to shape company strategy and goals, ensuring our product vision is aligned with our overall business objectives.

• Engagement and Research:
• Stay abreast of the latest advancements in AI and deep learning by regularly reviewing papers from top-tier venues.
• Collaborate with leadership to understand and shape company strategy, ensuring our products are aligned with our overall business goals.

• Design and Product Development:
• Translate research insights and industry trends into actionable product initiatives and features.
• Work closely with engineering and design teams to define and prioritise the product roadmap, ensuring we are delivering the most value to our users.
• Propose and champion new product ideas, ensuring they are technically feasible and aligned with our overall product vision.

• Team and Company Impact:
• Embrace a startup mentality, moving fast, iterating quickly, and taking initiative to ensure our products remain competitive and innovative.
• Build and empower both front-end and backend teams, fostering a culture of collaboration and learning.
• Promote a culture of diversity and inclusion, ensuring our products are accessible and useful to a wide range of users.

• Extremely strong software engineering skills.
• Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
• Deep experience in building and leading a product-centric organisation. 
• Direct experience working as part of a team building Large Language Models.
• Released multiple features with several iterations.
• Strong track record of creating and curating large-scale datasets.
• Experience using large-scale distributed training strategies.
• Familiarity with autoregressive sequence models, such as Transformers.
• Ability to collaborate effectively with human annotators and cross-functional teams.
• Paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

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 from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together 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 

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 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, New York, San Francisco and London and co-working stipend

✈️ 6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.