As a member of the Agent Code team, you'll develop cutting-edge code LLMs and agent systems that interact with the digital world to solve complex tasks with minimal human oversight.
Responsibilities
- ▹Stay up to date with the latest research in code LLMs and agents, implementing novel ideas into our systems
- ▹Design and implement scalable strategies to train code models and deploy agent frameworks for inference and sampling
- ▹Collaborate with the pretraining team, create SFT trajectories, and work on existing and new RL algorithms
- ▹Hillclimb on existing benchmarks and design new ones reflecting enterprise user needs
- ▹Lead experiments on state-of-the-art compute infrastructure, pushing the boundaries of frontier LLMs
Requirements
- ▹A PhD in Computer Science, Machine Learning, or a related field, with publications at top-tier venues (NeurIPS, ICML, ICLR, ACL, EMNLP)
- ▹Deep expertise in code LLMs and agent systems, with strong understanding of the latest research and trends
- ▹Active contribution to the development of code models, not just experience working with them
- ▹Hands-on experience with frontier LLMs 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
- ▹A proactive, self-motivated mindset with a passion for solving ambitious, open-ended problems
Soft skills
Proactive, self-motivated mindsetPassion for ambitious, open-ended problems
What we offer
- ▹Weekly lunch stipend of about $75/£75 (or local equivalent)
- ▹Full health and dental benefits, with a separate mental health budget
- ▹RRSP matching, 401K, or pension scheme
- ▹100% parental leave top-up for up to 6 months, for either parent
- ▹Annual enrichment benefits: arts & culture, fitness/wellness, quality time, workspace improvement
- ▹Education & learning stipend for conferences, courses, and coaching
- ▹6 weeks (30 working days) of paid vacation
- ▹Budget for traveling to other offices, plus an annual company offsite
- ▹$500 home office stipend; co-working benefit for remote employees
About the company
Cohere is the leading security-first enterprise AI company, building cutting-edge foundation models and end-to-end products that solve real business problems. Co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris.
Education: PhD in Computer Science, Machine Learning, or a related field
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