AI ML Engineer Jobs at Scale AI with Visa Sponsorship
Scale AI hires AI ML Engineers to build and refine the data pipelines and model evaluation systems that power frontier AI products. The company has a established pattern of sponsoring international talent across multiple visa categories, making it a realistic target for skilled engineers who need work authorization.
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Get Access To All JobsINTRODUCTION
Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!
ROLE AND RESPONSIBILITIES
You will:
- Build, profile and optimize our training and inference framework
- Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
- Research and integrate state-of-the-art technologies to optimize our ML system
BASIC QUALIFICATIONS
Ideally you’d have:
- Strong excitement about system optimization
- Experience with multi-node LLM training and inference
- Experience with developing large-scale distributed ML systems
- Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
- Strong written and verbal communication skills and the ability to operate in a cross functional team environment
PREFERRED QUALIFICATIONS
Nice to haves:
- Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.
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, determined by work location and additional factors, including job-related skills, experience, 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: $218,400—$273,000 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, Cisco, DLA Piper, 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: 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
Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!
ROLE AND RESPONSIBILITIES
You will:
- Build, profile and optimize our training and inference framework
- Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
- Research and integrate state-of-the-art technologies to optimize our ML system
BASIC QUALIFICATIONS
Ideally you’d have:
- Strong excitement about system optimization
- Experience with multi-node LLM training and inference
- Experience with developing large-scale distributed ML systems
- Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
- Strong written and verbal communication skills and the ability to operate in a cross functional team environment
PREFERRED QUALIFICATIONS
Nice to haves:
- Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.
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, determined by work location and additional factors, including job-related skills, experience, 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: $218,400—$273,000 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, Cisco, DLA Piper, 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: 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.
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Get Access To All JobsTips for Finding AI ML Engineer Jobs at Scale AI Jobs
Align your portfolio to RLHF work
Scale AI's AI ML Engineer roles center heavily on reinforcement learning from human feedback and model evaluation pipelines. Frame your resume and GitHub projects around RLHF, preference modeling, or data quality tooling rather than general ML infrastructure.
Target roles that clear specialty occupation standards
USCIS requires H-1B roles to qualify as specialty occupations requiring a directly related bachelor's degree or higher. AI ML Engineer positions at a data-labeling and model-training company like Scale AI typically satisfy this, but your degree field still needs to align with the role description.
Use OPT strategically during your job search
If you're on F-1 OPT, your 60-day unemployment grace period starts the moment you stop working. Line up your Scale AI application timeline so you're not burning that window while waiting for interview loops to progress.
Search Scale AI roles through Migrate Mate
Filter for AI ML Engineer openings at Scale AI by visa type using Migrate Mate, which surfaces sponsorship-confirmed listings. This saves you time validating whether a specific posting actively supports your visa category before you apply.
Prepare for a multi-round technical loop
Scale AI's engineering interviews for ML roles typically include coding rounds, ML system design, and a domain-specific evaluation component. Come ready to discuss data pipeline architecture and model quality metrics, not just algorithm theory.
AI ML Engineer at Scale AI jobs are hiring across the US. Find yours.
Find AI ML Engineer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for AI ML Engineers?
Yes, Scale AI sponsors H-1B visas for AI ML Engineer roles. The company has a consistent track record of filing H-1B petitions for technical positions. Because H-1B cap-subject petitions require winning the annual USCIS lottery, timing your offer around the March registration window matters. Cap-exempt paths may also apply depending on your situation.
Which visa types does Scale AI commonly sponsor for AI ML Engineer roles?
Scale AI sponsors H-1B, E-3, TN, EB-2, EB-3, F-1 OPT, F-1 CPT, and J-1 visas for engineering roles. Australian citizens benefit from the E-3 category, which has no lottery. Canadian and Mexican nationals may qualify under TN. F-1 students can start on OPT while an H-1B petition is pending through cap-gap protection.
How do I apply for AI ML Engineer jobs at Scale AI?
You can find and apply for AI ML Engineer openings at Scale AI through Migrate Mate, which lists sponsorship-confirmed roles filtered by visa type. Once you identify a posting, apply directly through Scale AI's careers portal. Clearly signal your visa status and authorization needs early in the process, ideally in your initial recruiter conversation.
What qualifications does Scale AI expect for AI ML Engineer roles?
Scale AI's AI ML Engineer positions typically require a bachelor's degree or higher in computer science, machine learning, or a closely related field. Practical experience with RLHF, large language model fine-tuning, data quality pipelines, or model evaluation frameworks is highly relevant. Strong Python skills and familiarity with distributed training environments are standard expectations across most levels.
How do I think about visa sponsorship timing when targeting Scale AI?
Timing depends on your current status. H-1B cap-subject candidates need an offer in hand before the March USCIS registration window. E-3 and TN holders can change employers with relatively short lead times. F-1 OPT students should monitor their authorized employment end date and coordinate with Scale AI's HR team on premium processing to avoid any gap in work authorization.
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