Director, AI/ML Engineering
Detroit, MI · Remote · USD 225,000-275,000 · 5+ years experience · Remote · Posted Oct 8, 2026
At a glance
- Experience
- 5+ years experience
- Workplace
- Remote
- Location
- Detroit, MI · Remote
- Salary
- USD 225,000-275,000 · Base salary
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. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com.
- We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.
About the role
- The Director, AI/ML Engineering will lead the strategy and development of AI/ML initiatives that shape the experience for millions of StockX buyers and sellers.
- Reporting to the VP of Engineering, this role involves building and scaling a high-performing team while partnering with product and business leaders to drive marketplace impact.
- The position oversees technical direction across areas including search, recommendations, pricing, forecasting, and fraud detection.
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.
- Lead delivery across search, recommendations, pricing, forecasting, fraud detection, and counterfeit detection.
- Set technical direction, guide architecture and model decisions, and choose the right approach from classical ML to generative AI.
- Drive rigorous experimentation and A/B testing to measure impact.
- Scale ML platforms and MLOps practices to ensure reliable and cost-effective delivery.
- Own hiring, performance, resource planning, and investment tradeoffs.
- Align senior stakeholders on priorities and results.
Requirements
- 10+ years of relevant, hands-on experience in ML engineering or applied science with a track record of operating production ML systems.
- 7+ years of practical ML or data science experience, including 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 outcomes through cross-functional partnerships.
- Strong technical judgment across model design, architecture, experimentation, and cloud infrastructure.
- Ability to balance performance, speed, and cost.
- Clear, compelling communication skills with the ability to influence senior leaders.
Preferred qualifications
- Experience managing managers or leading multiple ML engineering or applied science teams.
- Marketplace, e-commerce, or Supply Chain experience.
- Experience 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.
Benefits
- Medical
- Dental
- Equity
- Discretionary bonuses
Workplace
- Location: Detroit, MI; Remote
Skills
- Machine Learning
- Applied Science
- Computer Vision
- Multi-modal Learning
- Recommendation Systems
- Generative AI
- A/B Testing
- MLOps
- Cloud Infrastructure
- AWS
