AI Product Engineer Jobs at Scale AI with Visa Sponsorship
AI Product Engineer jobs at Scale AI sit at the intersection of machine learning infrastructure and product development, working directly on data labeling systems and AI evaluation pipelines. Scale AI has a consistent track record of sponsoring work visas across multiple categories for this function, making it a viable target for international candidates.
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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 autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions.
We're looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you'll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the "data as a product" strategy that powers them. You'll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product.
The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows.
You'll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary.
- Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry, driving execution across engineering, operations, and go-to-market teams.
- Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competitive strategy for the vertical. Connect with AI startups and industry leaders to launch joint benchmarks and build Scale's brand in Finance.
- Design and scale Finance-specific environments: Scope and build simulations of real Finance workflows and environments that let labs train and evaluate agents against real world scenarios. Partner with ML and Operations to translate the judgement, edge cases, and workflows you know from the industry into high quality training products.
- Collaborate cross-functionally: Influence business priorities and dive into the weeds of research, operations, and customer interactions to deliver mission-critical outcomes.
BASIC QUALIFICATIONS
- 3–6 years of direct experience in the Finance industry in one or more of: investment banking, private equity, trading, asset or portfolio management, or a fintech product role, with real depth in how the work gets done.
- AI-Forward Thinking: Quick to adopt AI solutions to streamline your day-to-day workflows and an ability to understand and articulate how it's transforming your industry.
- A builder's mindset: Excited by ambiguity and motivated to create new products from the ground up.
- Product or customer-facing experience: A track record of owning outcomes, shaping roadmaps, or working closely with technical stakeholders (formal PM experience is a plus but not required if domain depth is strong).
- ML Intuition & Technical Fluency: Enough intuition around how model training and evaluation works and what a Reinforcement Learning environment looks like. A software background is a plus.
- Bias for action: Comfort wearing multiple hats and operating in fast-moving environments.
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.
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Get Access To All JobsTips for Finding AI Product Engineer Jobs at Scale AI
Build a portfolio around AI evaluation work
Scale AI's AI Product Engineer roles center on model evaluation, data pipelines, and RLHF tooling. Document projects where you've built or improved feedback systems for ML models. Concrete artifacts matter more than credentials alone when clearing technical screens.
Align your degree to specialty occupation standards
H-1B approval hinges on USCIS classifying your role as a specialty occupation. A degree in computer science, AI, or software engineering strengthens that case. A general business or unrelated degree can complicate the petition even at a willing sponsor.
Target Scale AI's enterprise and frontier divisions
Scale AI's AI Product Engineer openings cluster around its Generative AI and Federal divisions. Roles tied to specific product lines tend to move faster through headcount approvals, which directly affects how quickly an offer converts into a sponsorship filing.
Use Migrate Mate to surface open AI Product Engineer roles
Searching broadly across job boards misses roles where sponsorship is already built into the offer. Use Migrate Mate to filter Scale AI's AI Product Engineer openings by visa type so you're only applying where sponsorship is actively available.
Negotiate offer timing around H-1B cap deadlines
H-1B cap registrations open in March for an October 1 start. If you receive an offer outside that window, ask about cap-exempt pathways or whether Scale AI will hold the role for a future lottery cycle. This conversation is standard at companies with active sponsorship programs.
Request PERM initiation details before accepting
If long-term status matters to you, ask during offer negotiation whether Scale AI initiates PERM for this role category and at what tenure point. Some employers start PERM after one year; others wait longer. Getting clarity upfront avoids surprises after you've already joined.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for AI Product Engineers?
Yes, Scale AI sponsors H-1B visas for AI Product Engineer roles. The company files both initial cap-subject petitions and transfers for candidates already holding H-1B status with another employer. If you're currently on OPT or another nonimmigrant status, Scale AI's recruiting team will typically discuss the H-1B path during the offer stage, not after.
Which visa types does Scale AI commonly use for AI Product Engineer roles?
Scale AI sponsors across several categories for this function, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, and J-1 visa for exchange visitors. Candidates already on F-1 OPT can start immediately while an H-1B petition is prepared, which makes the transition relatively seamless for recent graduates.
How do I apply for AI Product Engineer jobs at Scale AI?
You can find open AI Product Engineer positions at Scale AI directly on the company's careers page or through Migrate Mate, which filters roles by visa sponsorship type so you can confirm sponsorship availability before applying. Scale AI's hiring process for this role typically includes a recruiter screen, a technical assessment focused on ML systems or product thinking, and multiple rounds of interviews with the product and engineering teams.
What qualifications does Scale AI expect for AI Product Engineer candidates?
Scale AI looks for candidates with a background in software engineering or machine learning, plus hands-on experience shipping AI-adjacent products. Familiarity with data annotation pipelines, model evaluation frameworks, or RLHF workflows is a strong differentiator. A bachelor's degree in computer science or a related field is the baseline, and for H-1B sponsorship specifically, USCIS requires that the role qualify as a specialty occupation under that degree field.
How do I time my application if I'm on F-1 OPT and targeting Scale AI?
If your OPT is expiring within the next six to twelve months, apply early enough to allow time for onboarding and H-1B cap registration, which opens each March. STEM OPT extensions give you up to 24 additional months of work authorization, which provides a buffer if you miss a lottery cycle. Confirm with Scale AI's HR team early in the process that they're prepared to file the H-1B cap petition on your behalf before March.