Principal Engineer, Code LLMs & Autonomous Agents

Cohere; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Weekly lunch stipend

Health and dental benefits

RRSP matching & Pension

Parental Leave top-up

Enrichment benefits

Paid vacation

Office travel budget & offsite

Job summary

Cohere is seeking a senior member for the Agent Code team to push the boundaries of code LLMs and autonomous agents. This hands-on, research-driven role focuses on developing production-ready systems and collaborating with engineers and researchers to solve complex tasks with minimal human oversight.

You will stay current with the latest research, design scalable training and deployment pipelines, and lead experiments on our compute infrastructure across global time zones, contributing to

Qualifications

• PhD in CS/ML with top-tier publications.
• Deep expertise in code LLMs and agent systems.
• Hands-on with frontier LLMs for code generation.

Responsibilities

• Stay up-to-date with the latest research in code LLMs, agents, and related fields.
• Design and implement scalable training and deployment for code models and agent frameworks.
• Lead experiments on frontier compute infrastructure and benchmarks.
• Collaborate with research and engineering teams to productionize solutions.

Skills

Code LLMs

Agent systems

Python

PyTorch

TensorFlow

Distributed systems

Cloud infrastructure

Open-ended problems

Proactive mindset

Education

PhD in CS/ML

Job description

Cohere is seeking a senior member for the Agent Code team to push the boundaries of code LLMs and autonomous agents. This hands-on, research-driven role focuses on developing production-ready systems and collaborating with engineers and researchers to solve complex tasks with minimal human oversight.

You will stay current with the latest research, design scalable training and deployment pipelines, and lead experiments on our compute infrastructure across global time zones, contributing to