Machine Learning Research Engineer, Agents - Enterprise GenAI

Scale AI, Inc.; New York (NY); On-site; USD 264,800 - 331,000; Full time

Job summary

Scale AI, Inc. is recruiting for an Agent MLRE to advance state-of-the-art agent training and building algorithms for enterprise datasets and benchmarks. You will work on applying our Agent RL Training and building methods to real-world data and client benchmarks, delivering high-performance agents.

The role emphasizes post-training approaches (RLHF/RLVR, PPO/GRPO) and producing publishable results from enterprise-scale experiments. Candidates with publications recently are preferred.

Qualifications

• 1–3 years building with LLMs in a production environment.
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• 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.

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.

Skills

LLM development in production

RL methods

Academic publications

Education

PhD or Masters in CS

Job description

AI is becoming vitally important in every function of our society. 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 out 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 be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best‑in‑class Agents that achieve state of the art results through a combination of post‑training + agent‑building algorithms.

If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!

You will:

• 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.

Ideally you'd have:

• 1‑3 years of building with LLMs in a production environment
• Experience with post‑training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• 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

Base salary range for this full‑time position in San Francisco, New York, Seattle: $264,800 – $331,000 USD.

PLEASE NOTE:

Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

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