Stockx
Director, AI/ML Engineering
Bangalore, India. Posted a month ago
The role
You will set the AI/ML engineering strategy and build a team of ML engineers and applied scientists. You will lead delivery across search, recommendations, pricing, forecasting, fraud detection, and counterfeit detection.
What you will do
- Own the AI/ML engineering strategy and roadmap
- Build and develop a high-performing team of ML engineers and applied scientists
- Lead delivery across search, recommendations, pricing, forecasting, fraud detection, and counterfeit detection
- Set technical direction, guide architecture and model decisions
- Drive rigorous experimentation and A/B testing
- Scale ML platforms and MLOps practices
- Own hiring, performance, resource planning, and investment tradeoffs
Required qualifications
- 10+ years of relevant, hands-on experience in ML engineering or applied science
- 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
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 a related field
- Experience with AWS and shared ML platforms
About the company
StockX is a Detroit-based technology leader focused on the online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. The platform connects buyers and sellers of high-demand consumer goods using dynamic pricing mechanics.