Machine Learning Research Engineer, Agents - Enterprise GenAI

About the role

At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building state-of-the-art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world.

The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will apply our Agent RL Training + Building algorithms to real-life enterprise datasets across our clients and benchmarks. This will involve creating best-in-class Agents that achieve state-of-the-art results through a combination of post-training and agent-building algorithms.

Responsibilities

• Train state-of-the-art models, developed both internally and from the community, to deploy 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.

Requirements

• 1-3 years of building with LLMs in a production environment.
• Experience with post-training methods like RLHF/RLVR and related algorithms such as PPO/GRPO.
• Publications in top conferences such as NeurIPS, ICLR, or ICML within the last two years.
• PhD or Masters in Computer Science or a related field.

Benefits

• Comprehensive health, dental, and vision coverage.
• Retirement benefits.
• Learning and development stipend.
• Generous PTO.
• Eligibility for additional benefits such as a commuter stipend.

Pay

The base salary range for this full-time position in San Francisco, New York, or Seattle is $264,800—$331,000 USD. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed reflects the minimum and maximum target for new hire salaries and may be inclusive of several career levels at Scale. It will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.

Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.