Artificial Intelligence Scientist Jobs at Scale AI with Visa Sponsorship
Artificial Intelligence Scientist jobs at Scale AI sit at the intersection of research and applied machine learning, working on the data infrastructure that trains frontier AI models. Scale AI has a consistent track record of sponsoring international talent across a range of visa categories for technical research positions.
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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:
- 5+ 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, 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
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: $216,200—$270,250 USD.
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.
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
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:
- 5+ 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, 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
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: $216,200—$270,250 USD.
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.
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 Artificial Intelligence Scientist Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Artificial Intelligence Scientist Jobs at Scale AI.
Get Access To All JobsTips for Finding Artificial Intelligence Scientist Jobs at Scale AI
Tailor your CV for AI research depth
Scale AI's AI Scientist roles expect demonstrated research output, not just engineering experience. Highlight published work, benchmark contributions, or RLHF and data quality research specifically, since those map directly to what Scale AI's technical teams build.
Identify roles matching your visa category
Scale AI sponsors multiple visa types for this function. Cross-reference open AI Scientist listings against the visa types you're eligible for, and use Migrate Mate to filter sponsoring employers by visa category so you're only targeting roles that fit your status.
Verify your OPT timeline before applying
If you're on F-1 OPT, confirm how many months remain before your cap-gap or STEM extension kicks in. Scale AI's hiring timelines for research roles can run eight to fourteen weeks, so starting the process with less than three months on your OPT is a real risk.
Prepare for specialty occupation documentation early
H-1B petitions for AI Scientist roles require USCIS to confirm specialty occupation status. Gather degree transcripts, published papers, and a clear written summary of how your role requires a specialized theoretical and applied AI background before your employer initiates filing.
Ask your recruiter about cap-exempt filing paths
If Scale AI partners with qualifying research institutions or nonprofits, your H-1B petition may be filed cap-exempt, bypassing the annual lottery entirely. Confirm this with your recruiter during the offer stage, since it significantly changes your start date planning.
Align your offer letter scope with your petition
DOL requires the Labor Condition Application to reflect your actual work location and job duties. If your AI Scientist role involves remote work or travel to multiple Scale AI sites, ensure the LCA covers all relevant locations before your employer certifies and files.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Artificial Intelligence Scientists?
Yes, Scale AI sponsors H-1B visas for Artificial Intelligence Scientist roles. AI Scientist positions typically qualify as specialty occupations under USCIS criteria because they require at minimum a bachelor's degree in a specific field such as computer science, machine learning, or statistics. Your employer initiates the H-1B process after extending an offer, and timing depends on whether your petition is subject to the annual cap or cap-exempt.
How do I apply for Artificial Intelligence Scientist jobs at Scale AI?
Applications go through Scale AI's careers page, where AI Scientist listings are posted under their research and applied ML teams. You can also browse open roles that include visa sponsorship on Migrate Mate, which filters specifically for employers sponsoring international candidates. Prepare a CV that reflects research output, relevant publications, and hands-on experience with large-scale data pipelines or model evaluation, since those are common screening criteria at Scale AI.
Which visa types does Scale AI commonly sponsor for Artificial Intelligence Scientist roles?
Scale AI sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3 for this function. H-1B is the most common route for candidates without country-specific eligibility. Australian citizens often pursue the E-3 visa, which has no lottery and a dedicated annual allocation. TN visa is available to Canadian and Mexican nationals in qualifying technical classifications.
What qualifications does Scale AI expect for Artificial Intelligence Scientist roles?
Scale AI generally expects a graduate degree in machine learning, computer science, statistics, or a closely related field for AI Scientist positions, with a PhD preferred for research-track roles. Practical experience with RLHF, model evaluation, or large-scale data quality systems is highly relevant given Scale AI's core business. Published research, open-source contributions, or benchmark work in AI safety or alignment are additional signals that matter during technical screening.
How long does the visa sponsorship process take for an Artificial Intelligence Scientist at Scale AI?
Timeline depends on your visa category. For H-1B, cap-subject petitions are tied to the April lottery and October 1 start dates, so the process from offer to authorized start can take six months or more. Premium processing through USCIS can reduce the adjudication window to roughly 15 business days but does not change the statutory start date. E-3 and TN petitions typically move faster, often resolving within a few weeks through consular processing or port of entry admission.