StockX
Director, AI/ML Engineering
Detroit, MI · Director
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Detroit-Warren-Dearborn, MI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Why you'll love this role Join a team of ML Engineers and Applied Scientists shaping how millions of buyers and sellers experience StockX.
- From finding the right product to detecting counterfeits, you'll tackle new challenges across our Live, Listings, and Core businesses-and turn advances in AI/ML into real marketplace impact.
- About StockX StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more.
Responsibilities
- Own the AI/ML engineering strategy and roadmap, connecting technical investments to customer needs and business priorities.
- Build and develop a high-performing team of ML engineers and applied scientists, growing technical leaders and managers as the organization scales.
- Lead delivery across search, recommendations, pricing, forecasting, fraud detection, and counterfeit detection.
- Drive rigorous experimentation and A/B testing to measure impact and focus resources on what works.
- Own hiring, performance, resource planning, and investment tradeoffs
- 10+ years of relevant, hands-on experience in ML engineering or applied science, with a track record of building and operating production ML systems.
- 5+ years of engineering leadership experience, including hiring, developing talent, and leading multiple complex workstreams.
- Strong technical judgment across model design, architecture, experimentation, and cloud infrastructure, with the ability to balance performance, speed, and cost.
- Own hiring, performance, resource planning, and investment tradeoffs; align senior stakeholders on priorities and results.
Nice to have
- Nice to have skills
Compensation
- Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $225,000 to $275,000, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses.
Benefits
- 7+ years of practical ML or data science experience, including experience in computer vision, multi-modal learning, search, or recommendation systems.
- Marketplace, e-commerce, or Supply Chain experience, particularly in search, recommendations, computer vision, or fraud and trust and safety.
- Advanced degree in Computer Science, Machine Learning, or a related field; experience with AWS and shared ML platforms.
- We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Company info
- Help empower our global customers to connect to culture through their passions.
- We are an equal opportunity employer and value diversity at our company.
This listing is sourced directly from StockX's careers page and normalized into a canonical job model.