Machine Learning Jobs at Scale AI with Visa Sponsorship
Machine Learning jobs at Scale AI involve hiring engineers, researchers, and data scientists to build the data infrastructure powering AI systems. The company has an established track record of sponsoring work visas across multiple categories, making it a realistic target for international candidates with strong ML credentials.
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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+ Machine Learning Jobs at Scale AI
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Get Access To All JobsTips for Finding Machine Learning Jobs at Scale AI
Align your portfolio to Scale AI's data-centric work
Scale AI's ML roles center on data quality, evaluation pipelines, and model training infrastructure, not just model research. Tailor your GitHub projects and resume to reflect experience with large-scale annotation systems, RLHF workflows, or dataset benchmarking before applying.
Confirm your visa category before outreach
Scale AI sponsors H-1B, E-3, TN, and F-1 OPT, each with different employer filing requirements. Knowing which category fits your nationality and status lets you ask informed questions during recruiter screens rather than discovering mismatches late in the process.
Use Migrate Mate to filter open ML roles by sponsorship
Not every ML job listing at Scale AI specifies which visa types are supported. Use Migrate Mate to browse current Machine Learning openings at Scale AI filtered by the visa categories that apply to your situation.
Front-load OPT start dates in your offer negotiation
If you're on F-1 OPT, your STEM extension window affects when Scale AI's legal team needs to begin H-1B preparation. Clarify your OPT expiration date in writing before signing an offer so there's no gap in your work authorization during the transition.
Request premium processing when H-1B cap timing is tight
USCIS premium processing returns a decision in 15 business days. If your start date lands close to October 1, the cap-subject H-1B start date, ask Scale AI's immigration team whether premium processing is included or available as an option.
Prepare a specialty occupation justification for your specific ML title
USCIS increasingly scrutinizes whether ML and AI roles meet the specialty occupation standard. Document how your position requires a specific degree field, not just any bachelor's, and gather job descriptions that show Scale AI uses consistent degree requirements for the role.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Machine Learning roles?
Yes, Scale AI sponsors H-1B visas for Machine Learning positions. Because H-1B cap-subject petitions are tied to the annual lottery, timing matters. Scale AI's immigration team typically coordinates filings ahead of the April registration window. If you're already in H-1B status with another employer, a cap-exempt transfer may be possible depending on Scale AI's filing entity.
Which visa types does Scale AI commonly use for Machine Learning positions?
Scale AI sponsors H-1B, E-3 visa, TN visa, EB-2, EB-3, F-1 OPT, F-1 CPT, and J-1 visas for Machine Learning roles. Australian citizens can pursue the E-3 visa, which has no lottery. Canadian and Mexican nationals in qualifying ML occupations may be eligible for TN visa status. F-1 students are commonly hired through OPT, with STEM extension providing additional runway before an H-1B is required.
How do I apply for Machine Learning jobs at Scale AI?
You can browse and apply for Machine Learning roles at Scale AI directly through their careers page or through Migrate Mate, which filters open positions by visa sponsorship type. Before applying, review whether the specific role aligns with your visa category, since sponsorship eligibility can vary by team and employment type within a large technology company.
What qualifications does Scale AI expect for Machine Learning roles?
Scale AI's Machine Learning positions typically require a bachelor's degree or higher in computer science, electrical engineering, statistics, or a closely related field. Roles often emphasize experience with large-scale training pipelines, model evaluation, or data labeling infrastructure. Research-focused positions may expect publications or graduate-level work in machine learning, while engineering roles weight production ML systems experience more heavily.
How do I understand the visa filing timeline for a Machine Learning offer at Scale AI?
Timeline depends on your current status. F-1 OPT allows you to start work while Scale AI prepares a future H-1B. Cap-subject H-1B petitions must be filed in April for an October 1 start date. E-3 and TN approvals can move faster since neither requires a lottery. Confirm your status and expiration dates with Scale AI's immigration counsel immediately after receiving an offer to avoid authorization gaps.