Engineering Technician Jobs at Scale AI with Visa Sponsorship
Engineering Technician roles at Scale AI sit at the intersection of hardware operations and AI data infrastructure, supporting the physical systems that power large-scale machine learning pipelines. Scale AI has a consistent track record of sponsoring work visas for technical roles across multiple visa categories, making it a realistic target for international candidates.
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Get Access To All JobsINTRODUCTION
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and more. Our mission is to develop reliable AI systems for the world’s most important decisions. Scale’s Global Public Sector (GPS) team is growing quickly and joining it is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities. This is a defense role. We’re looking for a Staff Technical Product Manager to own critical product areas within Scale’s Global Defense business, serving allied defense and national security customers. You’ll be a critical builder, shaping and developing Scale’s global defense products, while being the primary technical expert to our global customers. The ideal candidate brings together a strong engineering or ML background, entrepreneurial drive, the eagerness to be a hands-on builder, and the ability to get in front of senior technical and government stakeholders to drive mission-critical outcomes.
ROLE AND RESPONSIBILITIES
You Will:
- Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships
- Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding
- Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams
- Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements
- Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air-gapped deployments — or be ready to learn these fast
- Operate like a founding team member: wear multiple hats, move fast, unblock yourself, and drive outcomes across engineering, operations, and go-to-market
BASIC QUALIFICATIONS
Ideally, You’d Have:
- Builder mentality: you’re energized by going from zero to one, not by managing from a distance
- 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped
- Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus
- Deep intellectual curiosity about AI systems — you read papers, dig into technical details, and have strong opinions about how things should be built
- Enough customer instinct to know what matters, but your default mode is building, not selling
- Bias for action and comfort wearing multiple hats in fast-moving environments
- Willingness to travel to allied partner nations as needed
OTHER INFORMATION
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
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and more. Our mission is to develop reliable AI systems for the world’s most important decisions. Scale’s Global Public Sector (GPS) team is growing quickly and joining it is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities. This is a defense role. We’re looking for a Staff Technical Product Manager to own critical product areas within Scale’s Global Defense business, serving allied defense and national security customers. You’ll be a critical builder, shaping and developing Scale’s global defense products, while being the primary technical expert to our global customers. The ideal candidate brings together a strong engineering or ML background, entrepreneurial drive, the eagerness to be a hands-on builder, and the ability to get in front of senior technical and government stakeholders to drive mission-critical outcomes.
ROLE AND RESPONSIBILITIES
You Will:
- Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships
- Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding
- Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams
- Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements
- Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air-gapped deployments — or be ready to learn these fast
- Operate like a founding team member: wear multiple hats, move fast, unblock yourself, and drive outcomes across engineering, operations, and go-to-market
BASIC QUALIFICATIONS
Ideally, You’d Have:
- Builder mentality: you’re energized by going from zero to one, not by managing from a distance
- 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped
- Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus
- Deep intellectual curiosity about AI systems — you read papers, dig into technical details, and have strong opinions about how things should be built
- Enough customer instinct to know what matters, but your default mode is building, not selling
- Bias for action and comfort wearing multiple hats in fast-moving environments
- Willingness to travel to allied partner nations as needed
OTHER INFORMATION
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 Engineering Technician Jobs at Scale AI Jobs
Frame your credentials around AI hardware workflows
Scale AI's Engineering Technician roles prioritize hands-on experience with lab equipment, hardware validation, and sensor systems. Before applying, document specific tools and instrumentation you've operated, not just general technical skills.
Target Scale AI's sensor and robotics data teams
Engineering Technician openings at Scale AI cluster around autonomous vehicle data collection and robotics annotation infrastructure. Positioning your experience toward sensor calibration, lidar systems, or mechanical assembly increases your relevance to their highest-volume hiring areas.
Understand which visa fits your situation early
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, CPT, and J-1 visas for technical roles. Knowing which category applies to your citizenship and degree level before your interview lets you answer sponsorship questions confidently rather than stalling the offer process.
Ask about internal transfer before H-1B lottery season
Scale AI operates internationally. If you miss the H-1B cap in April, ask your recruiter whether a role in a cap-exempt or international office could bridge you to the next registration window without losing your offer.
Browse verified sponsoring roles through Migrate Mate
Engineering Technician openings at Scale AI can be filtered by visa type on Migrate Mate, so you're only applying to roles where sponsorship is confirmed rather than guessing from generic job board listings.
Engineering Technician at Scale AI jobs are hiring across the US. Find yours.
Find Engineering Technician at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Engineering Technicians?
Yes, Scale AI sponsors H-1B visas for Engineering Technician roles. Because the H-1B requires the position to qualify as a specialty occupation, you'll want to ensure your role involves a degree-requiring technical discipline, such as electrical engineering, mechanical engineering, or a related field. Scale AI has sponsored across multiple visa categories for this function, and H-1B is among them.
How do I apply for Engineering Technician jobs at Scale AI?
Applications go through Scale AI's careers portal. Tailor your resume to highlight hardware experience relevant to AI data pipelines, sensor systems, or lab instrumentation, since those map directly to their open Engineering Technician scopes. You can also use Migrate Mate to browse verified Scale AI Engineering Technician openings filtered by the visa type that applies to your situation, which saves time and surfaces roles actively open to sponsorship.
Which visa types are commonly used for Engineering Technician roles at Scale AI?
Scale AI sponsors H-1B, E-3 (for Australian citizens), TN (for Canadian and Mexican nationals), F-1 OPT, F-1 CPT, and J-1 visas for technical positions. For Engineering Technicians, F-1 OPT is a common starting point for recent graduates, while H-1B and E-3 are the primary long-term options depending on your citizenship. TN is available for qualifying Canadian and Mexican nationals in eligible technical categories.
What qualifications and experience does Scale AI expect for Engineering Technician roles?
Scale AI's Engineering Technician postings typically require hands-on experience with hardware assembly, testing equipment, or sensor systems, often in an AI, robotics, or autonomous vehicle context. A degree in electrical engineering, mechanical engineering, or a closely related technical field strengthens your H-1B specialty occupation case. Practical lab skills, familiarity with calibration processes, and the ability to follow precise technical documentation are consistently emphasized across their job descriptions.
How long does the visa sponsorship process take for a Scale AI Engineering Technician role?
Timeline depends on visa type. F-1 OPT authorization from USCIS can take up to 90 days, so apply well before your program end date. H-1B standard processing runs three to six months, with premium processing available for a faster decision. E-3 and TN can often be processed at a consulate or port of entry more quickly. Aligning your offer letter timeline with your current visa status is critical to avoiding gaps in work authorization.
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