ML Research Engineer, ML Systems

Full Time

San Francisco, CA; Seattle, WA; New York, NYPosted 14 days ago

Role Overview

Scale AI is hiring a ML Research Engineer, ML Systems. This is a full-time role in San Francisco, CA; Seattle, WA; New York. Part of Scale AI's Lifecycle hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Lifecycle roles is $100k-$139k (based on 500 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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PyTorchORCompensationBenefitsPrivacyScaleMLRLXF

Job description

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

You will:

Build, profile and optimize our training and inference framework
Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
Research and integrate state-of-the-art technologies to optimize our ML system

Ideally you’d have:

Strong excitement about system optimization
Experience with multi-node LLM training and inference
Experience with developing large-scale distributed ML systems
Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
Strong written and verbal communication skills and the ability to operate in a cross functional team environment

Nice to haves:

Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

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.

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:

$189,600—$237,000 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 accommodations@scale.com. 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.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Scale AI

Scale AI

scaleai.org

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Frequently Asked Questions

How do I apply for the ML Research Engineer, ML Systems position at Scale AI?

Use the Apply button above to submit your application directly to Scale AI. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the ML Research Engineer, ML Systems position at Scale AI located?

This position is based in San Francisco, CA; Seattle, WA; New York. Scale AI has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a ML Research Engineer, ML Systems at Scale AI earn?

Scale AI has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the ML Research Engineer, ML Systems role at Scale AI posted?

This role was posted on July 9, 2026 (14 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.