/PRNewswire/ -- StockX today announced that Scott Cutler has chosen to step down as Chief Executive Officer (CEO) effective December 31, 2024. The Board of... Backed by Battery and GV.
About the 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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about 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.
- 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...
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