Software Engineer Jobs at Scale AI with Visa Sponsorship
Software Engineer jobs at Scale AI sit at the intersection of infrastructure, tooling, and machine learning pipelines, powering the data infrastructure that modern AI systems depend on. Scale AI has an established track record of sponsoring work visas across multiple categories, making it a realistic target for international candidates in software engineering.
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Get Access To All JobsINTRODUCTION
Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
- Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
- Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs
- Deliver experiments at a high velocity and level of quality to engage our customers
- Work across the entire product lifecycle from conceptualization through production
- Be able, and willing, to multi-task and learn new technologies quickly
BASIC QUALIFICATIONS
What We’re Looking For:
- 4+ years of full-time engineering experience, post-graduation
- Experience scaling products at hyper growth startups
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Python or Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences
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: $179,400—$224,250 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
Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
- Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
- Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs
- Deliver experiments at a high velocity and level of quality to engage our customers
- Work across the entire product lifecycle from conceptualization through production
- Be able, and willing, to multi-task and learn new technologies quickly
BASIC QUALIFICATIONS
What We’re Looking For:
- 4+ years of full-time engineering experience, post-graduation
- Experience scaling products at hyper growth startups
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Python or Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences
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: $179,400—$224,250 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 44+ Software Engineer Jobs at Scale AI
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Get Access To All JobsTips for Finding Software Engineer Jobs at Scale AI
Tailor your resume to AI infrastructure roles
Scale AI's Software Engineer openings consistently prioritize experience with data pipelines, labeling infrastructure, and ML platform tooling. Align your resume language to those systems before applying, not after you hear back.
Confirm E-3 eligibility before your first interview
If you're an Australian citizen, Scale AI sponsors the E-3 visa, which bypasses the H-1B lottery entirely. Knowing your eligibility upfront lets you steer the sponsorship conversation confidently rather than waiting for HR to raise it.
Clarify LCA timing with your recruiting contact
Scale AI must file a Labor Condition Application with the DOL before your H-1B petition can move forward. Ask your recruiter early whether they use a set start date cycle or file on a rolling basis so your offer timeline aligns.
Use Migrate Mate to filter verified Scale AI openings
Not every Software Engineer posting at Scale AI is open to visa sponsorship. Use Migrate Mate to surface only the roles where Scale AI has an active sponsorship track record, so you're not applying blind.
Prepare for technical screens that test distributed systems depth
Scale AI's engineering interviews typically assess systems design and large-scale data processing, not just algorithms. Gaps in distributed systems fundamentals are a common reason strong candidates don't advance past the technical round.
Understand cap-gap coverage if your OPT expires mid-process
If you're on F-1 OPT and your H-1B is filed before the April 1 deadline, cap-gap rules allow you to keep working past your OPT end date through September 30. Confirm your I-20 is extended by your DSO once the petition is received by USCIS.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Software Engineers?
Yes, Scale AI sponsors H-1B visas for Software Engineer roles. Because H-1B cap-subject petitions go through the USCIS lottery each April, your offer timing needs to align with that annual cycle. Scale AI also sponsors the E-3 visa for Australian citizens, which bypasses the lottery and can be a faster path for eligible candidates.
How do I apply for Software Engineer jobs at Scale AI?
Applications go through Scale AI's careers page, where Software Engineer roles are listed by team and level. Before applying, review the job description carefully to confirm it aligns with your background in areas like data infrastructure, ML tooling, or backend systems. Migrate Mate also lets you browse Scale AI's active Software Engineer openings filtered by visa sponsorship eligibility, so you can prioritize the right roles from the start.
Which visa types does Scale AI sponsor for Software Engineer roles?
Scale AI sponsors several visa categories for Software Engineers, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa, and Green Card pathways including EB-2 and EB-3. The right visa type depends on your nationality, current status, and career stage, so it's worth understanding your options before the offer conversation.
What qualifications does Scale AI look for in Software Engineer candidates?
Scale AI's Software Engineer roles typically require a bachelor's degree or higher in Computer Science, Software Engineering, or a closely related field, which also satisfies the specialty occupation requirement for H-1B and E-3 sponsorship. Beyond credentials, the hiring bar emphasizes hands-on experience with large-scale systems, data pipelines, or ML infrastructure. Candidates without direct AI or data platform experience often struggle to advance past technical screens.
How do I understand the visa filing timeline once I have a Scale AI offer?
Timeline depends on your visa type. H-1B petitions must be filed in April for an October 1 start, so offers extended in late spring or summer often have a built-in wait. E-3 and TN visas move faster and aren't tied to that cycle. Once Scale AI's legal team initiates your petition, USCIS standard processing takes several months, though premium processing can reduce that to around 15 business days.