Join Cohere - Revolutionize AI with Us

About Us

At Cohere, our mission is to scale intelligence to serve humanity. We specialize in training and deploying frontier models for developers and enterprises who are crafting AI systems that deliver extraordinary experiences like content generation, semantic search, RAG, and intelligent agents. Our work is pivotal to the broad adoption of AI technologies.

We are dedicated builders. Each member of our team contributes to enhancing the capabilities of our models and increasing the value they provide to our customers. We work hard and move fast, always putting our customers first.

Cohere comprises a diverse team of researchers, engineers, designers, and more, all passionate about their craft. Each individual is among the best in the world at what they do. We believe that a wide range of perspectives is essential for creating outstanding products.

Join us in our mission and help shape the future!

Why This Role?

We are seeking a talented individual to lead a team within our Search organization that develops state-of-the-art models for information retrieval. This group tackles a variety of tasks including generating dense vectors and reranking. You will have the opportunity to revolutionize search experiences by building efficient and precise search systems, with ample opportunity for innovation and productionization of your ideas.

Your work will focus on advancing semantic search techniques to improve accuracy and efficiency. This role involves working with a wide array of technologies and collaborating with other teams to integrate your contributions into our search infrastructure.

We are looking for someone passionate about search with a strong background in information retrieval. Ideal candidates will have experience working with diverse technologies and successfully collaborating with other teams.

Please note: We have offices in Toronto, Palo Alto, San Francisco, and London but proudly embrace being a remote-first company!

Role Responsibilities

As a Manager of Technical Staff on this team, you will:

• Partner with our Product and Leadership teams to define project requirements, timelines, and deliverables.
• Collaborate cross-functionally with platform, biz, sales, and marketing teams.
• Design, train, and improve upon cutting-edge search models.
• Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.
• Work closely with the model serving team to ensure fast and stable inference.
• Engage in research collaborations with partner organizations and academic institutions, publishing your work in top-tier conferences and journals.

Ideal Candidate

You may be a good fit if you have:

• Experience leading and managing teams of highly technical engineers and researchers.
• Proficiency in Python and related ML frameworks such as PyTorch, TensorFlow, TF-Serving, JAX, and XLA/MLIR.
• Experience training representation models or using text embeddings in downstream tasks.
• Familiarity with various information retrieval techniques, such as lexical search and dense vector search.
• Understanding of autoregressive sequence models like Transformers.
• Strong communication and problem-solving skills.

Bonus Points For:

• Proficiency in other programming languages, such as C++ or Golang.
• Experience with large-scale distributed training strategies using GPUs.

Note: This list is not exhaustive. If you don't match all criteria but believe you can contribute to Cohere, we encourage you to apply. We welcome diverse backgrounds!

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 for 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, with offices in Toronto, New York, San Francisco, and London, and a co-working stipend
• ✈️ 6 weeks of