Lead the AI/ML engineering strategy at StockX, building a high-performing team to enhance marketplace impact.
Posted by employer 18 hours ago
First seen on Joblaze 11 hours ago
Last verified on the company career page 11 hours ago
Skills & Technologies
What you'll build
- 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
- Drive rigorous experimentation and A/B testing
- Scale ML platforms and MLOps practices
Must have
- 10+ years of relevant, hands-on experience in ML engineering or applied science
- 7+ years of practical ML or data science experience
- 5+ years of engineering leadership experience
- Experience owning an AI/ML roadmap
- 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
- Advanced degree in Computer Science, Machine Learning, or a related field
Requirements
- Experience
- 10+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The Director of AI/ML Engineering at StockX is responsible for shaping the company's AI and machine learning strategy, overseeing a team of ML engineers and applied scientists to enhance product search, recommendations, and fraud detection. This role requires extensive experience in building production ML systems, with a strong focus on technical leadership and cross-functional collaboration. Ideal candidates will have a robust background in machine learning, particularly in e-commerce or marketplace environments, and possess the ability to influence senior stakeholders effectively.
Joblaze insights
- Listed today — first seen on Joblaze October 9, 2026. Last confirmed on StockX's careers page October 9, 2026.
- This exact title is also open at 1 other location at StockX: Detroit, MI, United States.
Quick facts
- How much experience is required?
- At least 10 years of relevant experience for this Director, AI/ML Engineering role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Computer Vision, Data Science, MLOps, Machine Learning.
- What seniority level is this role?
- StockX targets director candidates for this position.
- Is this full-time or contract?
- Full-time for this Director, AI/ML Engineering role at StockX.
From the original posting
Help empower our global customers to connect to culture through their passions.
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.
Reporting to the VP of Engineering, you’ll set the AI/ML engineering strategy, build and develop the team, and make the decisions that move our highest-impact opportunities forward. You’ll partner with Product, Data Science, and business leaders to decide where we invest, what we build, and how we measure success.
What you’ll do
- 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.
- 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 and focus resources on what works.
- Scale ML platforms and MLOps practices that help teams ship quickly, reliably, and cost-effectively.
- Own hiring, performance, resource planning, and investment tradeoffs; align senior stakeholders on priorities and results.
About you
- 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 skills
- 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.
Standard company text repeated across StockX's postings is omitted here.