Senior AI Software Engineer Jobs at Scale AI with Visa Sponsorship
Senior AI Software Engineer jobs at Scale AI involve building and evaluating the data pipelines, model evaluation frameworks, and human feedback systems that power frontier AI. The company has an active sponsorship track record for engineering roles, supporting candidates across multiple visa categories from OPT through permanent residency.
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INTRODUCTION
Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.
YOUR ROLE AND RESPONSIBILITIES:
- Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
- Design and experiment new approaches to preference optimization.
- Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
- Publish research findings in top-tier AI conferences.
BASIC QUALIFICATIONS:
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
- Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
- Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
- Excellent written and verbal communication skills.
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals.
- Previous experience in a customer facing role.
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:
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,600—$225,750 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, 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:
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 Senior AI Software Engineer Jobs at Scale AI
Align your portfolio to RLHF and evaluation work
Scale AI's engineering teams focus heavily on reinforcement learning from human feedback and model quality evaluation. Projects demonstrating you've built annotation pipelines, reward models, or benchmark suites will signal direct role fit before your resume reaches a recruiter.
Verify your degree field maps to the specialty occupation
H-1B approval for AI software engineering roles requires a direct nexus between your degree and the position. A computer science or machine learning degree is the safest foundation. A degree in an unrelated field with a strong AI coursework record can create LCA complications worth resolving before you apply.
Target Scale AI's trust and safety and frontier model teams
Scale AI posts Senior AI Software Engineer roles across multiple product verticals. Teams building model evaluation infrastructure and data engine tooling sponsor at higher rates than generalist engineering squads. Filtering your applications to these verticals improves both interview conversion and sponsorship likelihood.
Request an OPT start date that preserves your STEM extension window
If you're on F-1 OPT, negotiate a start date that leaves maximum runway before your 24-month STEM extension expires. Scale AI participates in E-Verify, which is the DOL requirement to qualify for the STEM extension, so confirm that status during your offer stage.
Use Migrate Mate to filter open Senior AI Software Engineer roles at Scale AI
Sponsorship-confirmed job listings for this role type can be hard to isolate across general job boards. Migrate Mate lets you filter specifically for Scale AI openings verified for visa sponsorship, so you're applying to postings where the sponsorship pathway is already confirmed.
Clarify whether your offer covers Green Card sponsorship at the offer stage
Scale AI sponsors EB-2 and EB-3 petitions for engineering roles, but PERM timelines vary by priority date and country of birth. Ask your recruiter explicitly whether Green Card sponsorship is included in your offer package before you sign, not after your first year on the job.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Senior AI Software Engineers?
Yes, Scale AI sponsors H-1B visas for Senior AI Software Engineer roles. The company files H-1B petitions for qualifying engineers across its data engine, model evaluation, and AI safety teams. Because H-1B selection depends on the annual lottery run by USCIS, your timeline to authorization depends on when you enter the cap cycle and whether your employer opts for premium processing.
How do I apply for Senior AI Software Engineer jobs at Scale AI?
Applications go through Scale AI's careers portal. The interview process typically includes a technical screen focused on machine learning systems, a coding round, and a system design interview that often centers on data pipeline architecture or model evaluation infrastructure. To find current openings filtered by visa sponsorship eligibility, browse Scale AI's listings on Migrate Mate, which surfaces only verified sponsorship-confirmed postings.
Which visa types does Scale AI commonly use for Senior AI Software Engineer roles?
Scale AI sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, and J-1 visas for engineering roles, along with EB-2 and EB-3 immigrant visa petitions for permanent residency. Australian citizens should specifically ask about the E-3 visa pathway, which has no lottery and is processed on a rolling basis. TN visa status is available to Canadian and Mexican nationals whose role qualifies under the USMCA occupation list.
What qualifications does Scale AI expect for Senior AI Software Engineer roles?
Scale AI typically expects several years of hands-on machine learning engineering experience, with demonstrated work on large-scale model training, data labeling systems, or evaluation frameworks. Proficiency in Python and experience with distributed systems are standard requirements. Roles on frontier model teams often require familiarity with RLHF pipelines, reward modeling, or benchmark design. A relevant graduate degree in computer science or machine learning strengthens both your candidacy and your H-1B specialty occupation filing.
How long does the H-1B sponsorship process take at a company like Scale AI?
The H-1B process runs on an annual cycle. USCIS opens registration in March, conducts a lottery, and cap-subject petitions can be filed from April 1 for an October 1 start date. Premium processing, which USCIS offers for an additional fee, reduces adjudication to 15 business days. If you're already in H-1B status at another employer, a same-classification transfer can move faster under portability rules once Scale AI files your petition.