ML Research Engineer Jobs at Scale AI with Visa Sponsorship
ML Research Engineer jobs at Scale AI involve working on data quality, model evaluation, and frontier AI systems. The company has an established track record of sponsoring work visas across multiple categories for technical research roles, making it a viable 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+ ML Research Engineer Jobs at Scale AI
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Get Access To All JobsTips for Finding ML Research Engineer Jobs at Scale AI
Align your research portfolio to Scale AI's evaluation work
Scale AI's ML Research Engineer roles center on RLHF, model evaluation, and data pipeline design. Before applying, reframe your portfolio around measurable contributions to model quality or alignment research, not just general deep learning projects.
Verify Scale AI's E-Verify enrollment before your first interview
Employers must be enrolled in E-Verify to sponsor F-1 OPT and CPT. Confirming enrollment early prevents wasted cycles if you're on a time-sensitive OPT deadline that can't accommodate a delayed start.
Request your offer letter before your OPT expiration window closes
If you're on F-1 OPT, your employer must file the H-1B petition before your status expires. Build backward from USCIS's April 1 filing date and confirm Scale AI's internal legal timeline aligns with your authorization end date.
Distinguish your research contributions from engineering execution
Scale AI separates ML Research from software engineering tracks. USCIS specialty occupation approval depends on the role requiring a specific advanced degree field. Frame your experience around original research output, not general coding or system deployment.
Target open roles that map to your LCA prevailing wage tier
DOL Labor Condition Applications tie visa approvals to prevailing wages by location. For Scale AI's San Francisco and New York offices, understand that the LCA wage tier affects your negotiating position and the petition's strength with USCIS.
Use Migrate Mate to filter Scale AI openings by visa type
Scale AI sponsors across H-1B, E-3, TN, and Green Card pathways for this role. Use Migrate Mate to surface active ML Research Engineer postings filtered by the visa types relevant to your nationality, so you're applying to roles that fit your authorization.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for ML Research Engineers?
Yes, Scale AI sponsors H-1B visas for ML Research Engineer roles. The H-1B requires the position to qualify as a specialty occupation, which Scale AI's research-focused engineering roles generally satisfy given the advanced degree requirements in computer science, machine learning, or a related field. Sponsorship is subject to the annual H-1B cap and lottery, so timing your offer relative to the April 1 filing window matters.
Which visa types are commonly used for ML Research Engineer roles at Scale AI?
Scale AI sponsors several visa categories for ML Research Engineers, including H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals under USMCA), F-1 OPT and CPT for students, J-1 visa, and employment-based Green Cards through the EB-2 or EB-3 pathways. Your eligibility depends on nationality, degree level, and where you are in the job search process.
What qualifications does Scale AI expect for ML Research Engineer roles?
Scale AI's ML Research Engineer positions typically require a graduate degree in machine learning, computer science, statistics, or a related field, along with hands-on experience in model evaluation, RLHF, or large-scale data pipelines. Published research or demonstrated contributions to frontier AI systems strengthen your application. Roles vary in seniority, so review each job description carefully for specific technical requirements.
How do I apply for ML Research Engineer jobs at Scale AI?
You can browse and apply for ML Research Engineer openings at Scale AI directly through their careers page or through Migrate Mate, which filters active Scale AI roles by visa sponsorship type so you can confirm eligibility before applying. Tailor your application to Scale AI's focus areas, specifically model quality, evaluation frameworks, and alignment research, and be prepared for a technical loop that includes research presentations or take-home assessments.
How do I plan my timeline if Scale AI is sponsoring my H-1B as a new graduate?
If you're graduating and relying on F-1 OPT to bridge to an H-1B, you need to start early. USCIS opens H-1B registration in March for an October 1 start date. That means securing your offer, completing the LCA with DOL, and having the petition filed by April 1. If you miss the cap, cap-exempt filing through a university or nonprofit partner is one potential bridge while you wait for the next cycle.