AI ML Engineering Jobs at Scale AI with Visa Sponsorship
AI ML Engineering jobs at Scale AI involve building the data infrastructure powering frontier AI systems, with roles spanning model evaluation, RLHF pipeline development, and large-scale annotation tooling. The company has a consistent track record of sponsoring work visas for this function across multiple visa categories.
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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 34+ AI ML Engineering Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs at Scale AI.
Get Access To All JobsTips for Finding AI ML Engineering Jobs at Scale AI
Align your portfolio to RLHF and data pipelines
Scale AI's AI ML Engineering roles center on reinforcement learning from human feedback and high-throughput data labeling systems. Before applying, make sure your portfolio includes projects that demonstrate experience training or fine-tuning models at scale, not just standard ML benchmarks.
Verify your visa type against Scale AI's sponsored categories
Scale AI sponsors multiple visa types for this function. If you're on F-1 OPT, confirm your STEM extension eligibility early. E-3 and TN holders should note these require a new filing with each employer, so factor the LCA certification timeline into your start date negotiations.
Target roles explicitly requiring ML infrastructure experience
Scale AI distinguishes between applied ML research and ML engineering. Sponsorship is most consistent for roles requiring systems-level skills like distributed training, model serving, or data pipeline architecture. Applying to roles that match your infrastructure background improves both offer and sponsorship outcomes.
Request premium processing during offer negotiation
For H-1B transfers or cap-exempt filings, USCIS premium processing returns a decision within 15 business days. Raise this with your recruiter before signing an offer letter. Large technology employers often cover this cost, but it's rarely offered unless you ask.
Use Migrate Mate to filter open AI ML Engineering roles at Scale AI
Finding roles where sponsorship is actively offered, not just historically filed, requires filtering for current open positions. Use Migrate Mate to browse AI ML Engineering openings at Scale AI filtered by visa type so you're targeting active sponsoring roles, not stale listings.
Prepare your specialty occupation documentation before the offer stage
USCIS requires H-1B petitions to demonstrate that the role qualifies as a specialty occupation. Gather your degree transcripts, any advanced coursework in ML or systems engineering, and prior employment letters early so your employer's immigration counsel can build the petition without delays on your end.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for AI ML Engineers?
Yes, Scale AI sponsors H-1B visas for AI ML Engineering roles. If you're subject to the H-1B cap, sponsorship depends on lottery selection in April. For candidates already holding H-1B status with another employer, Scale AI can file an H-1B transfer, which isn't subject to the cap and can begin once USCIS receives the petition.
Which visa types are commonly used for AI ML Engineering roles at Scale AI?
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 immigrant visas for this function. Australian citizens are well-positioned to use the E-3 visa, which has no lottery and allows two-year renewable status. Canadian and Mexican nationals in qualifying ML engineering occupations may be eligible for TN visa classification, which can be obtained at a port of entry.
How do I apply for AI ML Engineering jobs at Scale AI?
Applications go through Scale AI's careers portal. To find roles that are actively open and confirmed for visa sponsorship, browse AI ML Engineering listings at Scale AI on Migrate Mate, which filters positions by visa type. When applying, tailor your resume to the specific engineering stack in the job description, particularly around model evaluation infrastructure, data pipelines, and RLHF systems that Scale AI builds.
What qualifications does Scale AI expect for AI ML Engineering roles?
Most AI ML Engineering roles at Scale AI require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field, along with hands-on experience in ML frameworks like PyTorch or JAX. Roles at senior levels typically expect experience with distributed training systems, model evaluation at scale, or building annotation and RLHF pipelines. USCIS requires the degree field to align with the job's core duties for H-1B specialty occupation eligibility.
How do I manage timing if Scale AI is sponsoring my H-1B for the first time?
If you need a new H-1B cap slot, USCIS opens registration in March and conducts the lottery before April 1, with an October 1 start date for selected petitions. That gap means you'd need to be on a bridge status like F-1 OPT or another valid visa until October. Discuss this timeline with your recruiter and Scale AI's immigration team well before your current status expires.