ML Engineer Jobs at Scale AI with Visa Sponsorship
ML Engineer jobs at Scale AI involve building and evaluating the data pipelines that train frontier AI systems. The company sponsors a range of work visas for this function, making it a realistic target if you're on OPT, holding an H-1B visa, or coming from outside the U.S. on an E-3 visa or TN visa.
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Get Access To All JobsINTRODUCTION
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 MLRS, 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!
YOUR ROLE AND 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.
BASIC QUALIFICATIONS
- 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
COMPENSATION
- 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.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $264,800—$331,000 USD
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: 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.
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.
INTRODUCTION
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 MLRS, 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!
YOUR ROLE AND 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.
BASIC QUALIFICATIONS
- 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
COMPENSATION
- 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.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $264,800—$331,000 USD
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: 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.
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.
See all 40+ ML Engineer Jobs at Scale AI
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Get Access To All JobsTips for Finding ML Engineer Jobs at Scale AI
Frame your ML work around data quality
Scale AI's ML Engineer roles center on RLHF pipelines, model evaluation, and training data infrastructure, not pure research. Tailor your resume and portfolio to show hands-on work with data labeling systems, feedback loops, or model benchmarking before you apply.
Verify your OPT STEM extension eligibility early
Scale AI sponsors F-1 OPT, but STEM extensions require your degree to appear on the STEM OPT designated degree list. Confirm your CIP code with your DSO before your initial OPT expires so there's no gap in work authorization during the hiring process.
Target Scale AI's applied ML teams specifically
Scale AI operates distinct tracks: research, infrastructure, and applied ML for enterprise clients. Job postings on their careers page often signal which track you're interviewing for. Applied ML and data engine roles tend to align more directly with sponsored positions and faster hiring cycles.
Understand the H-1B cap and Scale AI's filing window
Cap-subject H-1B petitions must be submitted in April for an October 1 start date. If you receive an offer outside that window, ask Scale AI's immigration team whether a cap-exempt pathway or a bridge on your current status can cover the gap.
Use Migrate Mate to filter verified ML Engineer openings
Sponsored ML Engineer roles at Scale AI aren't always flagged clearly on general job boards. Use Migrate Mate to browse openings filtered by visa type and employer sponsorship history so you're only spending time on roles where sponsorship is already confirmed.
Prepare your specialty occupation documentation before the offer
USCIS evaluates H-1B petitions partly on whether the role requires a specific bachelor's degree. For ML Engineer roles, gather transcripts, any graduate credentials, and project documentation that ties your specialized degree directly to the responsibilities in Scale AI's job description.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for ML Engineers?
Yes, Scale AI sponsors H-1B visas for ML Engineer roles. The H-1B is the most common path for international candidates in this function. Because H-1B cap registrations open in March and employment can't begin until October 1, timing matters. If you're already on an H-1B with another employer, a transfer can happen at any point in the year.
How do I apply for ML Engineer jobs at Scale AI?
Applications go through Scale AI's careers page, where roles are listed by team and function. ML Engineer positions often require a technical screen followed by a system design or ML evaluation exercise. Migrate Mate lets you browse confirmed ML Engineer openings at Scale AI filtered by visa type, so you can identify the right role before applying directly.
Which visa types does Scale AI commonly sponsor for ML Engineers?
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1 visa, and EB-2 or EB-3 Green Card pathways for ML Engineers. Australian citizens typically use the E-3, Canadian and Mexican nationals often use TN, and recent graduates commonly start on F-1 OPT while their employer files an H-1B petition during the annual cap registration window.
What qualifications does Scale AI expect for ML Engineer roles?
Most ML Engineer openings at Scale AI require a bachelor's or master's degree in computer science, machine learning, or a closely related field. Practical experience with model training pipelines, data annotation workflows, or RLHF systems carries significant weight. Roles on the applied side often prioritize demonstrated ability to ship production ML systems over pure research credentials.
How long does the visa sponsorship process take for an ML Engineer offer at Scale AI?
Timeline depends on visa type. H-1B cap cases follow a fixed cycle: registration in March, lottery results by April, and an October 1 start date. H-1B transfers for candidates already in status can close in weeks, especially with USCIS premium processing. E-3 and TN visas can move faster, often resolved at a consular appointment or port of entry within weeks of receiving an offer.