Machine Learning Research Jobs at Scale AI with Visa Sponsorship
Machine Learning Research jobs at Scale AI involve building and evaluating the data pipelines that train frontier AI models. The company has a consistent track record of sponsoring work visas for this function, making it a realistic target if you're on H-1B visa, E-3 visa, OPT, or TN visa status.
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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 Research Jobs at Scale AI
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Get Access To All JobsTips for Finding Machine Learning Research Jobs at Scale AI
Align your research portfolio to Scale's domain
Scale AI's ML Research hiring centers on data quality, RLHF, and model evaluation. Tailor your portfolio to show work in these areas specifically. Generic deep learning projects won't differentiate you against a competitive applicant pool.
Clarify your visa category before applying
Scale sponsors multiple visa types, but the filing process differs significantly between H-1B cap-subject and cap-exempt paths, E-3, and OPT STEM extensions. Know your current status and authorized end date before your first recruiter call.
Surface your sponsorship needs early in recruiter conversations
Scale's recruiting team handles visa questions routinely for ML Research roles. Raising your sponsorship needs after an offer creates delays. Confirming compatibility in the first conversation keeps the process clean for both sides.
Understand the LCA requirement before your offer letter
Your employer must file a certified Labor Condition Application with the DOL before USCIS can adjudicate your H-1B petition. Ask Scale's HR team when they plan to initiate the LCA so you can build an accurate start-date timeline.
Target roles that map to a specialty occupation definition
H-1B approval hinges on USCIS accepting the role as a specialty occupation requiring a relevant bachelor's degree or higher. ML Research positions at Scale, which typically require a degree in computer science, statistics, or a related field, map cleanly to this standard.
Use Migrate Mate to find open ML Research roles at Scale AI
Filtering by visa type and employer manually is slow and incomplete. Use Migrate Mate to search Scale AI's sponsored ML Research openings by visa category so you're applying to positions that match your specific authorization.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Machine Learning Researchs?
Yes, Scale AI sponsors H-1B visas for Machine Learning Research roles. The company files both cap-subject petitions, which require selection in the annual USCIS lottery, and cap-exempt petitions where applicable. If you're already in H-1B status with another employer, a transfer to Scale AI doesn't require a new lottery selection, which significantly simplifies the process.
How do I apply for Machine Learning Research jobs at Scale AI?
You can find open Machine Learning Research positions directly on Scale AI's careers page or through Migrate Mate, which filters Scale AI's roles by visa sponsorship type. When applying, tailor your resume and any research portfolio to reflect experience in areas Scale prioritizes, such as model evaluation, RLHF, and data annotation systems. Be ready to discuss your visa status during the initial recruiter screen.
Which visa types does Scale AI commonly sponsor for Machine Learning Research roles?
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1 visa, and employment-based Green Card categories including EB-2 and EB-3 for Machine Learning Research positions. E-3 is available exclusively to Australian citizens and is a strong option given it carries no lottery. TN is available to Canadian and Mexican nationals in qualifying occupations.
What qualifications does Scale AI typically expect for Machine Learning Research roles?
Most ML Research positions at Scale AI require a graduate degree in computer science, statistics, machine learning, or a closely related field. Practical experience with large language models, reinforcement learning from human feedback, or data quality evaluation pipelines is valued. Research publications or demonstrated contributions to open-source projects in these areas strengthen applications, particularly for senior-level roles.
How do I time my application if I'm on F-1 OPT and targeting Scale AI?
If you're on F-1 OPT STEM extension, you have up to 24 additional months of work authorization beyond your initial OPT period, giving you time to go through Scale AI's hiring process and H-1B cap cycle. USCIS opens H-1B registration in March for an October 1 start date. Aim to have an offer finalized by February to give your employer enough lead time to file.