AI Engineer Jobs at Scale AI with Visa Sponsorship
AI Engineer jobs at Scale AI involve building the data infrastructure and evaluation systems behind frontier AI models. The company actively sponsors a range of work visas for technical roles, making it a realistic target if you need employer support to work legally in the United States.
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Get Access To All JobsINTRODUCTION
As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.
ROLE AND RESPONSIBILITIES
You will:
- Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale.
- Build an internal platform to empower LLM capability discovery.
- Collaborate with researchers and engineers to integrate and optimize models for production and research use cases.
- Conduct architecture and design reviews to uphold best practices in system design and scalability.
- Develop monitoring and observability solutions to ensure system health and performance.
- Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment.
BASIC QUALIFICATIONS
Ideally you'd have:
- 4+ years of experience building large-scale, high-performance backend systems.
- Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).
- Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.).
- Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc.
- Experience with containers and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
- Proven ability to solve complex problems and work independently in fast-moving environments.
PREFERRED QUALIFICATIONS
Nice to haves:
- Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.
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
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,000—$225,000 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
As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.
ROLE AND RESPONSIBILITIES
You will:
- Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale.
- Build an internal platform to empower LLM capability discovery.
- Collaborate with researchers and engineers to integrate and optimize models for production and research use cases.
- Conduct architecture and design reviews to uphold best practices in system design and scalability.
- Develop monitoring and observability solutions to ensure system health and performance.
- Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment.
BASIC QUALIFICATIONS
Ideally you'd have:
- 4+ years of experience building large-scale, high-performance backend systems.
- Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).
- Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.).
- Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc.
- Experience with containers and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
- Proven ability to solve complex problems and work independently in fast-moving environments.
PREFERRED QUALIFICATIONS
Nice to haves:
- Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.
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
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,000—$225,000 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 41+ AI Engineer Jobs at Scale AI
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Get Access To All JobsTips for Finding AI Engineer Jobs at Scale AI
Build a portfolio around data labeling pipelines
Scale AI's AI Engineer roles center on data quality, RLHF pipelines, and model evaluation infrastructure. Projects that demonstrate hands-on experience with large-scale annotation workflows or fine-tuning processes will align directly with what their technical interviewers are assessing.
Confirm your visa category before applying
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, and Green Card pathways. Knowing which category fits your nationality and degree saves time during recruiter screens, where sponsorship eligibility often gets resolved in the first conversation.
Start OPT applications at least four months early
USCIS recommends filing your OPT EAD application no earlier than 90 days before your program end date. Given current processing timelines, filing as close to that 90-day window as possible is critical before starting any AI Engineer role at Scale AI.
Request an H-1B timeline walkthrough during negotiation
If you receive an offer outside the H-1B lottery window, ask the Scale AI recruiting team directly how they handle cap-subject petitions. Companies with active sponsorship programs typically have established legal counsel and a clear internal process for managing lottery timing and status changes.
Use Migrate Mate to filter verified AI Engineer openings
Scale AI posts AI Engineer roles across multiple job boards with inconsistent sponsorship language. Use Migrate Mate to surface only positions confirmed to offer visa sponsorship, so you're targeting roles where the company has already indicated willingness to file.
Prepare your specialty occupation documentation early
USCIS requires AI Engineer roles to meet specialty occupation standards under H-1B regulations. Gather your transcripts, any credential evaluations for foreign degrees, and employment letters that tie your specific academic background to the technical requirements of the role.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for AI Engineers?
Yes, Scale AI sponsors H-1B visas for AI Engineer roles. If you're subject to the H-1B cap, timing matters because USCIS runs the lottery once per year with an April 1 filing window for October 1 start dates. Scale AI's legal team typically manages the petition process, but you'll want to align your offer timeline with that annual window.
How do I apply for AI Engineer jobs at Scale AI?
You can apply directly through Scale AI's careers page or find verified AI Engineer openings with confirmed visa sponsorship on Migrate Mate. Roles at Scale AI for this function often require experience in machine learning infrastructure, data pipelines, or model evaluation. Tailoring your application to their specific technical stack, including familiarity with RLHF and large-scale data labeling, strengthens your candidacy.
Which visa types does Scale AI commonly use for AI Engineer roles?
Scale AI sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and EB-2 and EB-3 immigrant visas for AI Engineer positions. Australian citizens can pursue the E-3 visa as a faster alternative to the H-1B lottery. Canadian and Mexican nationals in qualifying occupations may be eligible for TN visa status, which has no lottery and can be processed at the border.
What qualifications does Scale AI expect for AI Engineer roles?
Scale AI's AI Engineer positions typically require a bachelor's or master's degree in computer science, machine learning, or a closely related field. Practical experience with model training pipelines, evaluation frameworks, or data quality systems carries significant weight. For H-1B purposes, your degree must directly relate to the job duties, so a clear alignment between your academic background and the specific role is important for the petition.
How do I time my application if my OPT or current visa status is running out?
If you're on F-1 OPT, you have a 60-day grace period after employment ends, but you can't accrue more than 90 days of unemployment on post-completion OPT without jeopardizing your status. For H-1B transfers from another employer, portability rules allow you to start at Scale AI once the petition is filed and received by USCIS, without waiting for approval. Aligning your start date with these windows takes coordination with Scale AI's HR team early in the offer process.