Research Engineer Jobs at Scale AI with Visa Sponsorship
Research Engineer jobs at Scale AI sit at the intersection of machine learning infrastructure, data quality, and model evaluation. Scale AI actively sponsors visa holders across multiple categories for this function, making it a viable target for international candidates with strong technical backgrounds in AI research or applied ML.
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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.
See all 32+ Research Engineer Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Engineer Jobs at Scale AI.
Get Access To All JobsTips for Finding Research Engineer Jobs at Scale AI
Align your research portfolio to Scale AI's work
Scale AI focuses on data labeling, RLHF pipelines, and model evaluation infrastructure. Frame your prior research around these areas in your CV and cover letter so reviewers can immediately map your work to their roadmap.
Confirm your OPT start date before applying
If you're on F-1 OPT, your employment start date must align with your EAD validity. Scale AI's hiring timelines can stretch across several interview rounds, so apply early enough to avoid a gap between offer acceptance and authorized start.
Target roles that specify ML systems or evaluation experience
Scale AI posts Research Engineer roles across distinct teams. Filtering for positions mentioning model benchmarking, annotation pipelines, or quality evaluation increases your odds of landing on a team with active sponsorship precedent for this function.
Use Migrate Mate to identify open Research Engineer roles at Scale AI
Filter by visa type and company to surface active Research Engineer listings at Scale AI that fit your authorization. Migrate Mate aggregates sponsoring employers so you're not manually sifting through postings that won't proceed with international candidates.
Prepare your LCA documentation before your H-1B filing window
Your employer must file a Labor Condition Application with the DOL before USCIS processes your H-1B petition. Confirm the prevailing wage level for Research Engineer roles in Scale AI's office location so you can flag any discrepancy before the petition is submitted.
Request the E-3 pathway if you hold Australian citizenship
Scale AI sponsors E-3 visas, which have no lottery and can be filed year-round. If you're Australian, raise this explicitly during the offer stage rather than assuming your recruiter will default to it over H-1B.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Research Engineers?
Yes, Scale AI sponsors H-1B visas for Research Engineer positions. The H-1B requires your role to qualify as a specialty occupation, which Research Engineer roles typically satisfy given their degree requirements in computer science, machine learning, or a related field. Keep the annual H-1B lottery cap in mind when planning your timeline, as selection is not guaranteed in any given cycle.
How do I apply for Research Engineer jobs at Scale AI?
Applications go through Scale AI's careers portal. Research Engineer roles at Scale AI typically involve multiple technical rounds covering ML fundamentals, systems design, and domain-specific evaluation tasks. Tailoring your application to highlight experience with model training pipelines, data quality, or RLHF gives your submission the clearest signal. You can browse open Research Engineer roles at Scale AI filtered by visa type on Migrate Mate.
Which visa types does Scale AI commonly sponsor for Research Engineers?
Scale AI sponsors H-1B, E-3 visa, TN, F-1 OPT, F-1 CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3 for Research Engineers. H-1B is the most common route for candidates already in the U.S. without another status. Australian nationals can pursue the E-3 visa, and Canadian or Mexican nationals in qualifying occupations may be eligible for the TN visa.
What qualifications does Scale AI expect for Research Engineer roles?
Scale AI's Research Engineer postings typically require a bachelor's or master's degree in computer science, statistics, or a closely related field, with hands-on experience in machine learning research or applied ML systems. Familiarity with model evaluation methods, large-scale data pipelines, or reinforcement learning from human feedback is a strong differentiator. Publications or open-source contributions in relevant areas can strengthen a borderline application.
How do I plan my timeline for a Research Engineer role at Scale AI if I need sponsorship?
H-1B petitions must be filed by April 1 for an October 1 start date, so back-plan your offer and onboarding accordingly. If you're on F-1 OPT, confirm your EAD expiration against Scale AI's expected start date before accepting an offer. For E-3 or TN visa applicants, consular processing or port-of-entry admission can move faster, but your employer still needs to complete the LCA with the DOL before USCIS or consular review begins.