About the Role
- Cohere's mission is to scale intelligence to serve humanity by 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. The company emphasizes a culture of obsession over its products, with each team member contributing to increasing model capabilities and customer value, working hard and moving fast. Cohere is comprised of researchers, engineers, designers, and more, all passionate about their craft and believing in the importance of diverse perspectives for product development.
- The Search team is looking for talented individuals to help us develop state-of-the-art models for information retrieval. This group is working on a range of tasks including training our embedding and reranker models. You'll have the opportunity to revolutionise people's search experience by contributing to building an intelligent, efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas.
- Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of novel technologies and collaborating with other teams to integrate your work into our search infrastructure.
- We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past.
Responsibilities
- 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 that inference is fast and stable.
- Collaborate with product teams to develop solutions.
- Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.
- Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!
Requirements
- Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.
- Familiarity with training and using various information retrieval models.
- Experience leveraging Large Language Models as part of training data or evaluation pipelines.
- Strong communication and problem-solving skills.
Bonus points for
- Experience building training and/or evaluation datasets for practical use cases.
- Proficiency in other programming languages, such as C++ or Golang.
- Experience using large-scale distributed training strategies with GPUs.
Benefits
- š¤ An open and inclusive culture and work environment
- š§āš» Work closely with a team on the cutting edge of AI research
- š½ Weekly lunch stipend, in-office lunches & snacks
- š¦· Full health and dental benefits, including a separate budget to take care of your mental health
- š£ 100% Parental Leave top-up for up to 6 months
- šØ Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
- š Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
- āļø 6 weeks of vacation (30 working days!)