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.
- This internship role offers the opportunity to ship state-of-the-art models to production, design and implement novel research ideas, and build elegant training and deployment pipelines. Interns will have the chance to shape Cohere's developments and wear multiple hats. The recruitment process will begin in the upcoming weeks. To be eligible, candidates must be currently enrolled in a post-secondary program and available for a full-time 3-6 month internship, co-op, or research work term.
Responsibilities
- Design, train and improve upon cutting-edge models.
- Help us develop new techniques to train and serve models safer, better, and faster.
- Train extremely large-scale models on massive datasets.
- Explore continual and active learning strategies for streaming data.
- Learn from experienced senior machine learning technical staff.
- Work closely with product teams to develop solutions.
Requirements
- Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
- Experience using large-scale distributed training strategies.
- Familiarity with autoregressive sequence models, such as Transformers.
- Strong communication and problem-solving skills.
- A demonstrated passion for applied NLP models and products.
- To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term.
Qualifications
- Bonus: experience writing kernels for GPUs using CUDA.
- Bonus: experience training on TPUs.
- Bonus: papers at top-tier venues (suchS as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
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!)