Agent ML Research Engineer (MLRE)

About

As an Agent ML Research Engineer (MLRE) at Scale, you will be applying our Agent RL Training + Building algorithms to real‑life enterprise datasets across our clients and benchmarks. Your work will involve creating state‑of‑the‑art agents that automatically hill‑climb datasets by defining highly performant tools, multi‑agent systems, and complex rewards.

Responsibilities

• Train state‑of‑the‑art models, including those developed internally and from the community, for deployment to our enterprise customers.
• Research cutting‑edge algorithms to integrate directly into our training stack.
• Build agents that leverage our proprietary agent‑building algorithms to automatically hill‑climb datasets, including defining highly performant tools, multi‑agent systems, and complex rewards.

Qualifications

• 1‑3 years of building with LLMs in a production environment.
• Experience with post‑training methods such as RLHF/RLVR and related algorithms like PPO/GRPO.
• Publications at top conferences (e.g., NEURIPS, ICLR, ICML) within the last two years.
• PhD or Master’s in Computer Science or a related field.

Compensation and Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Director approval. Salary range for this full‑time position in San Francisco, New York, and Seattle is: $218,400—$273,000 USD. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend.