Member of Technical Staff, Integration/RL Team (Research Engineer) at Cohere

Confirmed open

Develop scalable distributed reinforcement-learning and post-training systems for Cohere LLMs. Remote applicants must work between UTC−06:00 and UTC+01:00.

Cohere

Search jobs by company: Cohere

Location: Remote
Advertised region: Paris / London / New York / Toronto / Montreal / France
Employment: FullTime
Work arrangement: remote
Technologies: Python, Kubernetes, PyTorch

See how to apply

Save job — free account Saved jobs

Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.

By continuing, you agree to processing needed to manage your account and profile. Privacy policy

Role overview

Develop scalable distributed reinforcement-learning and post-training systems for Cohere LLMs. Remote applicants must work between UTC−06:00 and UTC+01:00.

Responsibilities

Write training software and research tools for supervised fine-tuning, preference optimization and reinforcement learning.
Improve post-training speed and performance across distributed clusters.
Coordinate with infrastructure, serving and research teams on an integrated training stack.

Qualifications

Strong Python and ML engineering with JAX, PyTorch or XLA/MLIR.
Experience debugging large distributed training workloads and valuing clean, tested code.

Technology in this role

Python: Strong Python and ML engineering with JAX, PyTorch or XLA/MLIR.

About Cohere

Cohere builds foundation AI models and enterprise AI products.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply Apply directly

Source checked: 2026-11-08

Browse job categories

Python Kubernetes