Backend Software Engineer Jobs at Scale AI with Visa Sponsorship
Scale AI hires Backend Software Engineers to build the infrastructure behind its data labeling and AI training platforms, working across distributed systems, APIs, and large-scale data pipelines. The company has an established sponsorship process for this function and actively files across multiple visa categories for engineering hires.
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INTRODUCTION
The Frontier Data team builds the data and systems that power Scale’s most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI/computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We’re looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams.
ROLE AND RESPONSIBILITIES
Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment.
Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability.
Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces.
Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity.
Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems.
Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization.
* Raise the engineering bar through design reviews, code reviews, and pragmatic best practices.
BASIC QUALIFICATIONS
5+ years of full-time software engineering experience (post-graduation).
Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability.
Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services).
Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus).
Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar.
Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued).
* Proficiency with SQL and modern database-backed application development.
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.
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
The Frontier Data team builds the data and systems that power Scale’s most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI/computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We’re looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams.
ROLE AND RESPONSIBILITIES
Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment.
Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability.
Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces.
Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity.
Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems.
Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization.
* Raise the engineering bar through design reviews, code reviews, and pragmatic best practices.
BASIC QUALIFICATIONS
5+ years of full-time software engineering experience (post-graduation).
Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability.
Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services).
Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus).
Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar.
Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued).
* Proficiency with SQL and modern database-backed application development.
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.
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.
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Get Access To All JobsTips for Finding Backend Software Engineer Jobs at Scale AI Jobs
Tailor your resume for distributed systems work
Scale AI's backend roles center on high-throughput data pipelines and API infrastructure at scale. Highlight specific experience with systems like Kafka, gRPC, or large-scale database architectures, generic backend experience won't differentiate you in this applicant pool.
Target roles open to multiple visa categories
Scale AI sponsors H-1B, E-3, TN, and F-1 OPT, so your visa type won't disqualify you from most openings. When filtering jobs, prioritize listings where the job description references international applicants or the company's established immigration support process.
Prepare your credentials before the offer stage
For specialty occupation roles in AI infrastructure, USCIS scrutinizes whether your degree field directly relates to the position. Have your transcripts and, if your degree is from outside the U.S., a credential evaluation from a NACES-approved service ready before you receive an offer.
Understand Scale AI's H-1B timing constraints
If you need a new H-1B cap subject slot, the annual lottery runs in March for an October 1 start. Plan your job search timeline backward from those dates so an offer letter and filing window align rather than forcing a gap in work authorization.
Use Migrate Mate to surface active Backend Engineer openings
Scale AI posts backend roles across multiple hiring cycles and the listings turn over quickly. Use Migrate Mate to filter specifically for Scale AI Backend Software Engineer roles that include visa sponsorship, so you're applying to live openings rather than stale postings.
Clarify PERM implications if you're pursuing permanent residency
If a green card matters to you, ask Scale AI's recruiting team early whether your backend role would be filed under EB-2 or EB-3. The PERM labor certification timeline can run beyond a year, and knowing the category affects how you plan your status extensions.
Backend Software Engineer at Scale AI jobs are hiring across the US. Find yours.
Find Backend Software Engineer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Backend Software Engineers?
Yes, Scale AI sponsors H-1B visas for Backend Software Engineers. The company has an active immigration program covering this function and works with experienced immigration counsel to handle filings. If you need an H-1B transfer from a current employer, Scale AI can file a cap-exempt petition, which bypasses the lottery and can take effect immediately upon USCIS approval.
How do I apply for Backend Software Engineer jobs at Scale AI?
Apply directly through Scale AI's careers page. Backend engineering roles at Scale AI typically involve technical phone screens followed by system design and coding interviews focused on distributed systems and API architecture. You can also browse verified Backend Software Engineer openings at Scale AI with sponsorship filters on Migrate Mate, which surfaces active listings updated in real time.
Which visa types does Scale AI commonly use for Backend Software Engineers?
Scale AI sponsors H-1B and E-3 visas for full-time Backend Software Engineers, along with TN status for Canadian and Mexican nationals in qualifying technical roles. For students and recent graduates, F-1 OPT and CPT are supported during hiring. Candidates on J-1 exchange visitor status may also be considered. Permanent residence sponsorship through EB-2 or EB-3 is available for qualifying roles.
What qualifications does Scale AI expect for Backend Software Engineer roles?
Most backend roles at Scale AI expect proficiency in Python, Go, or Java alongside hands-on experience with distributed systems, cloud infrastructure (AWS, GCP, or Azure), and high-volume data processing. For H-1B or E-3 sponsorship, USCIS requires the role to qualify as a specialty occupation, meaning a bachelor's degree or higher in computer science, software engineering, or a directly related field is standard.
How long does the visa sponsorship process take if I receive an offer from Scale AI?
Timeline depends on your visa category. An H-1B transfer from a current valid H-1B typically takes two to four months with standard processing, or as little as two to three weeks with USCIS premium processing. An E-3 for Australian citizens can move faster since it's processed at a U.S. consulate in Australia, often within weeks. F-1 OPT authorization should be initiated at least 90 days before your intended start date to avoid gaps.
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