Staff Engineer Jobs at Scale AI with Visa Sponsorship
Staff Engineer jobs at Scale AI sit at the intersection of AI data infrastructure and large-scale systems work, requiring deep technical ownership across distributed platforms. Scale AI has a consistent track record of sponsoring international engineers across multiple visa categories, making it a realistic target for skilled candidates who need work authorization.
Find Staff Engineer Jobs at Scale AIOverview
Showing 5 of 49+ Staff Engineer Jobs at Scale AI
See all 49+ Staff Engineer Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Engineer Jobs at Scale AI.
Get Access To All JobsINTRODUCTION
Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.
This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering.
Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.
You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.
ROLE AND RESPONSIBILITIES
You will:
- Deploy flexibly into critical, fast-moving product initiatives across the CB organization
- Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.
- Lead architecture decisions for scalability, reliability, and performance
- Mentor and uplevel engineers across the team
- Partner with product and leadership to shape roadmap and priorities
- Own large, ambiguous problem spaces end-to-end
- Work across backend, frontend, and ML systems
BASIC QUALIFICATIONS
- 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.
- Track record of shipping high-quality products and features at scale
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
PREFERRED QUALIFICATIONS
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.
INTRODUCTION
Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.
This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering.
Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.
You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.
ROLE AND RESPONSIBILITIES
You will:
- Deploy flexibly into critical, fast-moving product initiatives across the CB organization
- Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.
- Lead architecture decisions for scalability, reliability, and performance
- Mentor and uplevel engineers across the team
- Partner with product and leadership to shape roadmap and priorities
- Own large, ambiguous problem spaces end-to-end
- Work across backend, frontend, and ML systems
BASIC QUALIFICATIONS
- 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.
- Track record of shipping high-quality products and features at scale
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
PREFERRED QUALIFICATIONS
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.
See all 49+ Staff Engineer Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Engineer Jobs at Scale AI.
Get Access To All JobsTips for Finding Staff Engineer Jobs at Scale AI
Align your portfolio to AI infrastructure work
Scale AI hires Staff Engineers to own systems at the data pipeline and model evaluation layer. Before applying, document projects where you led architecture decisions on distributed systems or data labeling platforms, not just contributed to them.
Verify your role qualifies as a specialty occupation
USCIS requires H-1B roles to demand a specific bachelor's degree field. For Staff Engineer positions, your background in computer science or a directly related engineering discipline should map clearly to the job description Scale AI posts.
Time applications around Scale AI hiring cycles
Scale AI runs consistent engineering hiring throughout the year. Targeting roles in Q4 or Q1 gives you runway before the April H-1B cap-subject filing window, reducing pressure on both you and the recruiting team.
Clarify sponsorship scope during the offer stage
Ask explicitly whether Scale AI will cover premium processing through USCIS for your H-1B petition. For international engineers on OPT with a shrinking grace period, premium processing can compress the approval timeline from months to weeks.
Use Migrate Mate to surface open Staff Engineer roles
Scale AI's sponsorship-eligible Staff Engineer openings can be scattered across teams. Use Migrate Mate to filter specifically for roles that support your visa category so you target the right positions from the start.
Build a credentials packet before outreach begins
For Staff Engineer-level petitions, your employer's attorney will need detailed evidence of your technical scope and leadership. Prepare a record of systems you owned, team sizes you influenced, and measurable outcomes before any offer letter arrives.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Staff Engineers?
Yes, Scale AI sponsors H-1B visas for Staff Engineer roles. The company has an established pattern of filing H-1B petitions for technical hires, including at the staff level. If you're currently on OPT or another nonimmigrant status, confirm with your recruiter early in the process that the specific team and role are eligible for sponsorship before progressing to the offer stage.
How do I apply for Staff Engineer jobs at Scale AI?
You can find and apply for Staff Engineer openings at Scale AI through the company's careers page or through Migrate Mate, which filters roles by visa sponsorship eligibility. When applying, tailor your resume to emphasize technical ownership and systems-level impact, since Scale AI's Staff Engineer bar centers on scope of influence across infrastructure rather than individual contributor output.
Which visa types does Scale AI commonly use for Staff Engineer roles?
Scale AI sponsors several visa categories for Staff Engineers, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, and F-1 OPT and CPT for students in active degree programs. Candidates already on an approved immigrant petition may also be considered under EB-2 or EB-3 pathways. The right category depends on your nationality, current status, and career stage.
What qualifications does Scale AI expect for Staff Engineer candidates?
Scale AI's Staff Engineer roles typically require deep experience in distributed systems, data infrastructure, or machine learning platforms, along with a demonstrated record of technical leadership across engineering teams. A bachelor's degree or higher in computer science or a related field is standard. Candidates who have led cross-functional system design or owned production infrastructure at scale tend to be most competitive for these positions.
How do I plan my timeline if I need visa sponsorship for a Staff Engineer role?
If you're pursuing H-1B sponsorship, your employer must file the petition with USCIS between April 1 and April 30 for an October 1 start date, following a March registration lottery. F-1 OPT holders should account for the 60-day grace period and coordinate offer timing accordingly. E-3 and TN applicants generally face shorter processing timelines since those categories are not subject to an annual cap or lottery.