Machine Learning Research Engineer, Agents - Enterprise GenAI

Machine Learning Research Engineer, Agents - Enterprise GenAI

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 Master’s in Computer Science or a related field.

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, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Director approval.

You’ll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is:

$180,600 – $315,000 USD

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, Cisco, DLA Piper, 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…