Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI

Scale AI, Inc.; New York (NY); On-site; USD 198,600 - 331,000; Full time

Benefits offered by this job

Health benefits

Equity

Learning and development stipend

Generous PTO

Job summary

Scale AI, Inc. in New York is seeking an ML Sys Research Engineer to build and optimize training and inference frameworks for enterprise AI applications.

You will post-train state‑of‑the‑art models and collaborate across ML teams to accelerate research and development for next‑gen agents. The role requires hands‑on experience with LLM training, GPU clusters, and tools such as CUDA, PyTorch, transformers, and related technologies, plus strong communication within cross‑functional teams.

Qualifications

• At least 1–3 years of LLM training in a production environment.
• Passionate about system optimization.
• Experience with post-training methods like RLHF/RLVR and related algorithms.
• Ability to demonstrate know-how on operating modern GPU cluster architectures.
• Experience with multi-node LLM training and inference.
• Strong software engineering skills with CUDA, PyTorch, transformers, and related tools.
• Excellent written and verbal communication in a cross-functional team.
• PhD or Masters in Computer Science or a related field.

Responsibilities

• Build, profile and optimize training and inference frameworks.
• Post-train state-of-the-art models to define stable post-training recipes for enterprise engagements.
• Collaborate with ML teams to accelerate research and enable next-generation models and data curation.
• Create a next-gen agent training algorithm for multi-agent/multi-tool rollouts.

Education

PhD or Masters in Computer Science or a related field

Tools

CUDA

PyTorch

Transformers

Flash attention

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 and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you’ll work on building out the algorithms for our next‑gen Agent RL training platform, support large‑scale training, and research and integrate state‑of‑the‑art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use‑cases ranging from next‑generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You Will:

• Build, profile and optimize our training and inference framework.
• Post‑train state‑of‑the‑art models, developed both internally and from the community, to define stable post‑training recipes for our enterprise engagements.
• Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation..
• Create a next‑gen agent training algorithm for multi‑agent/multi‑tool rollouts.

Ideally You’d Have:

• At least 1-3 years of LLM training in a production environment
• Passionate about system optimization
• Experience with post‑training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Ability to demonstrate know‑how on how to operate the architecture of the modern GPU cluster
• Experience with multi‑node LLM training and inference
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills to operate in a cross‑functional team environment.
• 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, and Seattle is: $264,800—$331,000 USD

Our policy requires a 90‑day waiting period before reconsidering candidates for the same role.

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 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.

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