Machine Learning Engineer Jobs at Scale AI with Visa Sponsorship
Machine Learning Engineer jobs at Scale AI involve building and evaluating the data pipelines and model training workflows powering frontier AI systems. The company sponsors a range of work visas for this function, making it a viable target for international candidates with strong ML research or production engineering backgrounds.
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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 Engineer Jobs at Scale AI
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Get Access To All JobsTips for Finding Machine Learning Engineer Jobs at Scale AI
Align Your Portfolio to Frontier AI Work
Scale AI evaluates ML Engineers on hands-on model evaluation, RLHF pipelines, and large-scale data labeling infrastructure. Before applying, ensure your GitHub and resume reflect production-level ML work, not just academic or Kaggle projects.
Confirm Your Visa Type Before Applying
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, and Green Card pathways. Knowing which category applies to your nationality lets you frame your availability accurately on applications and avoid delays during offer negotiation.
Target Roles That Match Your Degree Field
H-1B specialty occupation approval requires a direct connection between your degree field and the ML Engineer role. Computer science, electrical engineering, or applied mathematics degrees are the strongest match for Scale AI's job descriptions.
Request OPT Cap-Gap Coverage in Writing
If your F-1 OPT expires between April and October during an H-1B filing cycle, cap-gap rules extend your work authorization automatically. Ask your Scale AI recruiter to confirm the company files petitions by the April 1 USCIS deadline.
Use Migrate Mate to Filter Scale AI ML Roles
Not every ML Engineer posting at Scale AI lists sponsorship eligibility upfront. Search and filter confirmed sponsoring roles for your visa type using Migrate Mate so you apply only to positions where your immigration status is already accounted for.
Prepare for the LCA Before Your Start Date
Your employer files a Labor Condition Application with the DOL before submitting your H-1B or E-3 petition. Confirm Scale AI's internal HR timeline for LCA filing so your target start date stays achievable and no processing window is missed.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Machine Learning Engineers?
Yes, Scale AI sponsors H-1B visas for Machine Learning Engineers. The role qualifies as a specialty occupation given its requirement for a bachelor's degree or higher in computer science, applied mathematics, or a related technical field. Your employer initiates the process by filing a Labor Condition Application with the DOL, followed by an H-1B petition with USCIS, so confirm the internal timeline with your recruiter early in the offer process.
Which visa types does Scale AI commonly use for Machine Learning Engineers?
Scale AI sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and EB-2 or EB-3 Green Card pathways for Machine Learning Engineers. Australian citizens are eligible for the E-3 visa, which has no lottery and is filed directly with USCIS. Canadian and Mexican nationals may qualify under TN visa status. The right visa depends on your nationality, degree, and career stage.
What qualifications does Scale AI expect for Machine Learning Engineers?
Scale AI typically looks for ML Engineers with a bachelor's or master's degree in computer science, statistics, or a related field, combined with hands-on experience in model training, evaluation pipelines, or large-scale data infrastructure. For immigration purposes, your degree field needs to align with the job description to satisfy H-1B specialty occupation requirements. Research or industry experience with large language models or reinforcement learning from human feedback strengthens your candidacy.
How do I apply for Machine Learning Engineer jobs at Scale AI?
You can browse current Machine Learning Engineer openings at Scale AI through Migrate Mate, which filters roles by visa sponsorship type so you can identify positions that match your immigration status. When you apply, tailor your resume to reflect production ML systems experience rather than general software engineering. During the offer stage, confirm sponsorship details, your target start date, and whether Scale AI files H-1B petitions in the regular cap or the advanced degree exemption.
How do I plan my timeline when switching to Scale AI on a sponsored visa?
Timeline depends on your current visa status. H-1B transfers can use portability rules, allowing you to start with Scale AI once the transfer petition is filed and received by USCIS, without waiting for approval. F-1 OPT holders must confirm their authorization end date and whether cap-gap applies. E-3 and TN renewals are faster but still require a certified LCA before the visa is issued. Build at least six to eight weeks of lead time into any offer negotiation to avoid gaps in work authorization.