10+ years of hands-on experience in ML engineering or applied science, with a proven track record in production ML systems.
7+ years of practical ML or data science experience, particularly in computer vision, multi-modal learning, search, or recommendation systems.
5+ years of engineering leadership experience, including talent development and managing complex projects.
Experience in owning an AI/ML roadmap and achieving measurable outcomes through cross-functional collaboration.
Strong technical judgment in model design, architecture, experimentation, and cloud infrastructure.
Responsibilities
Own the AI/ML engineering strategy and roadmap, aligning technical investments with customer needs.
Build and lead a high-performing team of ML engineers and applied scientists, fostering leadership growth.
Lead delivery across various domains including search, recommendations, and fraud detection.
Set technical direction and guide architectural decisions, utilizing both classical ML and generative AI.
Drive rigorous experimentation and A/B testing to assess impact and optimize resource allocation.
Scale ML platforms and MLOps practices for efficient and reliable deployment.
Manage hiring, performance, and resource planning while aligning senior stakeholders on priorities.
Benefits
Medical and dental coverage.
Equity opportunities.
Discretionary bonuses.
Full Job Description
Help empower our global customers to connect to culture through their passions.
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.
Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $225,000 to $275,000, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation in other geographies may vary.
About StockX
StockX is an online marketplace for buying and selling authentic sneakers, streetwear, watches, and designer handbags. The company uses a unique bidding and authentication system to ensure that all products sold on its platform are authentic. StockX was founded in 2016 and has quickly become one of the most popular destinations for sneakerheads and streetwear enthusiasts.
