Member of Technical Staff, Integration/RL Team (Research Engineer) jobs in United States
cer-icon
Apply on Employer Site
company-logo

Cohere · 2 weeks ago

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

Cohere is a company dedicated to scaling intelligence to serve humanity through advanced AI systems. The Member of Technical Staff will focus on developing and scaling machine learning algorithms and infrastructure, particularly for large-scale distributed reinforcement learning methods, while collaborating with various engineering and scientific teams.

Artificial Intelligence (AI)Foundational AIGenerative AIMachine LearningNatural Language Processing
check
Comp. & Benefits
check
H1B Sponsor Likelynote

Responsibilities

Design and write high-performing and scalable software for training models
Develop new tools to support and accelerate research and LLM training
Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem
Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime
Research, implement, and experiment with ideas on our cluster and data infrastructure
Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!

Qualification

Software engineeringPythonDistributed trainingJAXPytorchKubernetesTest-driven developmentClean codeCollaborationProblem-solving

Required

Extremely strong software engineering skills
Value test-driven development methods, clean code, and strive to reduce technical debts at all levels
Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR
Experience using and debugging large-scale distributed training strategies (memory/speed profiling)

Preferred

Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray)
Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance
Experience in ML, LLM and RL academic research

Benefits

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Company

Cohere

twittertwittertwitter
company-logo
Cohere is an enterprise AI firm developing secure and private AI technology to address real-world business challenges.

H1B Sponsorship

Cohere has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (14)
2023 (13)
2022 (5)
2021 (2)

Funding

Current Stage
Late Stage
Total Funding
$1.71B
Key Investors
Government of CanadaTiger Global ManagementIndex Ventures
2025-09-24Series D· $100M
2025-08-14Series D· $500M
2025-06-17Secondary Market

Leadership Team

leader-logo
Aidan Gomez
cofounder + ceo
linkedin
leader-logo
Ivan Zhang
Co-Founder
linkedin
Company data provided by crunchbase