Member of Technical Staff, Agent Code

Cohere
London, Paris, Toronto, Europe, EU, New York
Workplace: HybridFull timeFunction: QA, Test & Release EngineeringEducation: phdSkills: ["Communication","Problem-solving","Collaboration","Self-motivation"]

Senior role on the Agent Code team focused on advancing code LLMs and autonomous agents. You will conduct cutting-edge research, design scalable training and deployment pipelines, create robust evaluation benchmarks, and lead experiments on state-of-the-art compute infrastructure, collaborating with researchers and engineers across the organization.

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Cohere
Cohere
11 months ago

Member of Technical Staff, Agent Code

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Last checked: 16 hours agoStatus: Live

Job Summary

Senior role on the Agent Code team focused on advancing code LLMs and autonomous agents. You will conduct cutting-edge research, design scalable training and deployment pipelines, create robust evaluation benchmarks, and lead experiments on state-of-the-art compute infrastructure, collaborating with researchers and engineers across the organization.
Location: London, Paris, Toronto, Europe, EU, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Stay up-to-date with the latest research in code LLMs, agents, and related fields, 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 that reflect the needs of our enterprise users.
  • •Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs.

Pay and Benefits

Perks:Health InsuranceDentalParental LeaveRemote WorkMeal AllowanceCo-working StipendPaid Leave

Key Requirements

  • •A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
  • •Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends; actively contributed to their development.
  • •Hands-on experience with frontier LLMs and their 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.
Experience:AIMachine LearningResearch & Development
Education:PhD / Doctorate
Skills:CommunicationProblem-solvingCollaborationSelf-motivation
Languages:English
Tech Stack:PythonPyTorchTensorFlowDistributed systemsCloud

Company Brief

Cohere
Builds security-first foundation models and enterprise AI products (LLMs, retrieval, agent platforms) for regulated industries, enabling customizable, private deployments across cloud and on-premises for real-world business applications.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: Toronto, Canada
Founded: 2019
Glassdoor
Glassdoor: 2.9
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