Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI

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

Benefits offered by this job

Health, dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Equity

Job summary

Scale AI, Inc. is seeking a passionate ML researcher for the Enterprise ML Research Lab on the Data Foundation team. You will help define data flywheels that enable state-of-the-art post-training and agent-building capabilities for our enterprise clients.

In this role, you will build synthetic data pipelines, develop agents from production traces, and collaborate on an agent-building product while training leading-models for customer deployments.

Qualifications

• 3+ years of building with LLMs in a production environment.
• 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

• Build synthetic data pipelines to generate enterprise environments for RL post-training.
• Create agents to convert traces from production into actionable insights to improve agents.
• Contribute to agent-building products using coding agents and proprietary algorithms.
• Train state-of-the-art models, developed internally and from the community, for deployment to enterprise customers.

Skills

LLM production experience

Data for LLM/Agent improvement

Publications in ML conferences

Education

PhD or Master’s in Computer Science or related field

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 MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill‑climbs agent‑building from an eval set. 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:

• Build synthetic data pipelines to generate enterprise environments to use for RL post‑training
• Create agents to convert traces from production into actionable insights to use to improve agents
• Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms
• Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers.

Ideally you’d have:

• 3+ years of building with LLMs in a production environment
• Clear experiences with constructing high quality data to use to improve an LLM/AgentPublications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
• PhD or Masters 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 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. 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.

Base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is: $264,800 — $331,000 USD

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 United States Department of Labor's Know Your Rights poster for additional information.

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