11 months ago
Responsibilities
- Stay current with research in code LLMs, agents, and related fields and implement novel ideas in production systems.
- Design and implement scalable strategies for training code models and deploy agent frameworks for inference and sampling.
- Collaborate with the pretraining team, create supervised fine-tuning trajectories, and work on existing and new reinforcement learning algorithms.
- Improve existing benchmarks and design new benchmarks reflecting enterprise user needs.
- Lead experiments on state-of-the-art compute infrastructure using frontier LLMs.
Requirements
- PhD in Computer Science, Machine Learning, or a related field.
- Publications in top-tier venues such as NeurIPS, ICML, ICLR, ACL, or EMNLP.
- Deep expertise in code LLMs and agent systems, including actively contributing to code model development.
- Hands-on experience with frontier LLMs and applications in code generation or automation.
- Strong software engineering skills with proficiency in Python and PyTorch, TensorFlow, or similar frameworks.
- Experience with distributed systems, cloud infrastructure, and scalable architectures.
- Proactive, self-motivated approach and passion for solving ambitious, open-ended problems.
Benefits
- Remote-friendly, flexible work environment; team collaboration primarily spans ET to CET time zones.
- Weekly lunch stipend, in-office lunches, and snacks.
- Full health and dental benefits plus 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, plus a co-working stipend.
- Six weeks of vacation, or 30 working days.
- Equity and competitive compensation are offered, with no specific base salary stated.
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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