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StockX is seeking a Director of AI/ML Engineering to lead the company's machine learning strategy and engineering organization. Reporting to the VP of Engineering, you will own the AI/ML roadmap, build and develop a high-performing team of ML engineers and applied scientists, and drive technical decisions across search, recommendations, pricing, forecasting, fraud detection, and counterfeit detection—core capabilities that power the marketplace for millions of buyers and sellers globally.
Key responsibilities include:
- Owning the AI/ML engineering strategy and roadmap, connecting technical investments to customer needs and business priorities
- Building and developing a high-performing team of ML engineers and applied scientists, growing technical leaders and managers as the organization scales
- Leading delivery across search, recommendations, pricing, forecasting, fraud detection, and counterfeit detection
- Setting technical direction, guiding architecture and model decisions, and choosing the right approach from classical ML to generative AI
- Driving rigorous experimentation and A/B testing to measure impact and focus resources on what works
- Scaling ML platforms and MLOps practices to help teams ship quickly, reliably, and cost-effectively
- Owning hiring, performance, resource planning, and investment tradeoffs; aligning senior stakeholders on priorities and results
StockX is a Detroit-based technology leader (founded 2016, ~1,000 employees) focused on the online market for sneakers, apparel, accessories, electronics, collectibles, and trading cards. The platform connects global buyers and sellers using dynamic pricing mechanics and real-time data.
Requirements:
- 10+ years of relevant, hands-on experience in ML engineering or applied science, with a track record of building and operating production ML systems
- 7+ years of practical ML or data science experience, including experience in computer vision, multi-modal learning, search, or recommendation systems
- 5+ years of engineering leadership experience, including hiring, developing talent, and leading multiple complex workstreams
- Experience owning an AI/ML roadmap and delivering measurable customer or business outcomes through cross-functional partnerships
- Strong technical judgment across model design, architecture, experimentation, and cloud infrastructure, with the ability to balance performance, speed, and cost
- Clear, compelling communication and the ability to influence senior leaders, make tough prioritization decisions, and turn ambiguity into action
Nice to have:
- Experience managing managers or leading multiple ML engineering or applied science teams
- 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 related field; experience with AWS and shared ML platforms
