ML Research Engineer Jobs at Scale AI with Visa Sponsorship
Scale AI hires ML Research Engineers to work 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
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 ML Research Engineer Jobs at Scale AI Jobs
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.
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.
ML Research Engineer at Scale AI jobs are hiring across the US. Find yours.
Find ML Research Engineer at Scale AI JobsFrequently 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 (for Australian citizens), TN (for Canadian and Mexican nationals under USMCA), F-1 OPT and CPT for students, J-1, 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.
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