1 year ago
Responsibilities
- Design and write high-performance, scalable software for model training
- Post-train models to achieve state-of-the-art performance
- Coordinate with specialist teams such as Agentic and Code to produce broadly capable models
- Develop and implement techniques to improve training-cycle performance across supervised fine-tuning and reinforcement learning
- Research, implement, and experiment with ideas on large-scale compute and data infrastructure
- Contribute to production engineering and research efforts
Requirements
- Extremely strong software engineering skills
- Proficiency in Python and machine learning frameworks such as JAX, PyTorch, and XLA/MLIR
- Experience with distributed training infrastructure including Kubernetes and Slurm, and frameworks such as Ray
- Experience using large-scale distributed training strategies
- Hands-on experience training large models at scale
- Hands-on experience with model post-training, with a strong emphasis on performance optimization
- A paper at a top-tier venue such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, or EMNLP is a bonus
Benefits
- Open and inclusive culture and work environment
- Weekly lunch stipend, in-office lunches, and snacks
- Full health and dental benefits, including a separate mental health budget
- 100% parental leave top-up for up to 6 months
- Personal enrichment benefits for arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible work with offices in Toronto, New York, San Francisco, London, and Paris
- Co-working stipend
- Six weeks of vacation, or 30 working days
Tech Stack
Categories
AI ResearchML Engineering
About Cohere
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and optionality to deploy across all major cloud providers, private cloud environments, or on-premises. HQ: 171 John Street, 2nd Floor, Toronto, ON M5T 1X3