Remote Research Engineer — Post-Training & Reasoning AI

Cobalt; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible hours

Remote-first culture

Competitive compensation package

Job summary

Cobalt is seeking a Research Engineer focused on post-training optimization and innovative reasoning techniques. This role offers flexibility, allowing you to work remotely or in person, contributing to advanced AI systems and projects.

Ideal candidates should possess strong ML fundamentals and have prior experience in research engineering or production ML systems. Enjoy high-impact work with competitive compensation as you collaborate with talented professionals in a remote-first environment.

Qualifications

• Comfortable training and fine‑tuning LLMs end‑to‑end.
• Real exposure to post‑training methods like SFT and RL fine‑tuning.
• Proven history of shipping research or production ML systems.

Responsibilities

• Conduct research in post‑training optimization and reasoning techniques.
• Develop innovative algorithms for advanced AI systems.
• Collaborate with teams on R&D projects optimizing AI performance.

Skills

Strong ML engineering fundamentals

Post‑training methods experience

Track record in research

Ability to work independently

Interest in applied work with real-world consequences

Education

PhD or Master's in relevant field

Tools

PyTorch

Hugging Face

vLLM

deepspeed/FSDP

Job description

Cobalt is seeking a Research Engineer focused on post-training optimization and innovative reasoning techniques. This role offers flexibility, allowing you to work remotely or in person, contributing to advanced AI systems and projects.

Ideal candidates should possess strong ML fundamentals and have prior experience in research engineering or production ML systems. Enjoy high-impact work with competitive compensation as you collaborate with talented professionals in a remote-first environment.