Engineering Jobs at Scale AI with Visa Sponsorship
Engineering jobs at Scale AI involve building the data infrastructure powering frontier AI systems, spanning software, infrastructure, and machine learning roles. The company has a consistent track record of sponsoring work visas for Engineering hires, supporting candidates across multiple visa categories from OPT through permanent residency.
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The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play.
Key Responsibilities:
- Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research
- Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment
- Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in
- Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities
- Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads
Required Qualifications:
- Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field
- 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentoring, and developing high-performing technical teams through rapid growth and change
- Experience leading technical execution for complex hardware-software systems, with deep domain knowledge in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning strongly preferred
- Deep fluency in the ML development lifecycle — training pipelines, data flywheels, and evaluation frameworks as systems you've built and owned
- Comfortable leading teams across Python, C++, and TypeScript/Node stacks, distributed systems, cloud infrastructure (AWS, Kubernetes), and workflow orchestration (Temporal, Airflow)
- Proven ability to independently navigate, execute effectively amidst ambiguity, and strong attention to detail
- Strong operator and communicator to create tight feedback loops between teams, surface problems early, and drive decisions with clarity across technical and executive audiences
Nice to Have
- MS or PhD is a plus, though strong practical experience is equally valued.
- Hands-on experience with teleoperation systems (ALOHA, UMI, hand tracking), robotic hardware platforms, or imitation learning
- Background in sensor fusion, SLAM, or 3D data processing
- Experience scaling data collection systems globally
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.
The base salary range for this full-time position in the location of San Francisco is: $302,400—$378,000 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.
EEO Statement
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.
Role Overview
The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play.
Key Responsibilities:
- Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research
- Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment
- Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in
- Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities
- Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads
Required Qualifications:
- Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field
- 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentoring, and developing high-performing technical teams through rapid growth and change
- Experience leading technical execution for complex hardware-software systems, with deep domain knowledge in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning strongly preferred
- Deep fluency in the ML development lifecycle — training pipelines, data flywheels, and evaluation frameworks as systems you've built and owned
- Comfortable leading teams across Python, C++, and TypeScript/Node stacks, distributed systems, cloud infrastructure (AWS, Kubernetes), and workflow orchestration (Temporal, Airflow)
- Proven ability to independently navigate, execute effectively amidst ambiguity, and strong attention to detail
- Strong operator and communicator to create tight feedback loops between teams, surface problems early, and drive decisions with clarity across technical and executive audiences
Nice to Have
- MS or PhD is a plus, though strong practical experience is equally valued.
- Hands-on experience with teleoperation systems (ALOHA, UMI, hand tracking), robotic hardware platforms, or imitation learning
- Background in sensor fusion, SLAM, or 3D data processing
- Experience scaling data collection systems globally
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.
The base salary range for this full-time position in the location of San Francisco is: $302,400—$378,000 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.
EEO Statement
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 Engineering Jobs at Scale AI
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Get Access To All JobsTips for Finding Engineering Jobs at Scale AI
Align your credentials to AI data pipelines
Scale AI's Engineering roles focus heavily on data labeling platforms, model evaluation tooling, and distributed systems. Frame your resume around experience with large-scale data infrastructure or ML pipeline work before applying, not general software development.
Target roles matching your current visa status
Scale AI sponsors multiple visa types, so filter applications by roles where your status fits the timeline. If you're on F-1 OPT with a STEM extension clock running, prioritize open roles with active headcount rather than exploratory pipelines.
Surface your visa type early in outreach
Engineering recruiters at AI infrastructure companies move fast. When reaching out to Scale AI's talent team, state your visa category upfront so sponsorship eligibility gets confirmed before you invest time in multiple interview rounds.
Prepare for H-1B filing deadlines in your offer timeline
If you need H-1B sponsorship, USCIS's April 1 filing window means offer timing matters. Confirm with your Scale AI recruiter whether your start date aligns with the cap-subject H-1B cycle or if a cap-exempt pathway applies to your situation.
Use Migrate Mate to find sponsored Engineering openings
Scale AI posts Engineering roles across multiple job boards, but not all listings flag sponsorship availability. Browse Scale AI's verified sponsoring positions directly through Migrate Mate to filter for roles where your visa category is explicitly supported.
Confirm PERM timing if targeting permanent residency
If your goal is a Green Card via EB-2 or EB-3, ask Scale AI's immigration team when PERM labor certification typically initiates for Engineering hires. Early-stage companies can have variable timelines, and DOL PERM processing alone can run six months or longer.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Engineers?
Yes, Scale AI sponsors H-1B visas for qualifying Engineering roles. The H-1B requires your position to meet USCIS's specialty occupation standard, which Engineering roles at a technology company typically satisfy. Cap-subject H-1B petitions follow the April 1 filing window, so your offer and start date need to account for that annual cycle.
How do I apply for Engineering jobs at Scale AI?
You can apply directly through Scale AI's careers page or browse their verified sponsoring Engineering roles on Migrate Mate, which filters specifically for positions open to visa sponsorship. Tailor your application to reflect experience with AI data infrastructure, evaluation systems, or large-scale distributed platforms, as these are central to Scale AI's Engineering work.
Which visa types does Scale AI commonly sponsor for Engineering roles?
Scale AI sponsors a range of visa categories for Engineering positions, including H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1 visa, and employment-based Green Cards through EB-2 and EB-3. The right pathway depends on your nationality, degree field, and where you are in your immigration timeline.
What qualifications does Scale AI expect for sponsored Engineering roles?
Scale AI's Engineering roles generally require a bachelor's degree or higher in computer science, software engineering, or a closely related field, which also supports the specialty occupation requirement for H-1B and E-3 sponsorship. Practical experience with distributed systems, data pipelines, or ML infrastructure is consistently valued across their Engineering job listings.
How do I plan my timeline if I need visa sponsorship for a Scale AI Engineering role?
Start by identifying whether you need a cap-subject H-1B, which has a strict April filing window, or whether another category like E-3 or TN fits your background and allows year-round filing. Once you receive an offer, Scale AI's immigration counsel typically coordinates with USCIS on petition timing. F-1 OPT holders should track their EAD expiration date carefully relative to any H-1B lottery outcome.