Job description

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. 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. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. 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.

Requirements

Must-haves

Help empower our global customers to connect to culture through their passions. Why you’ll love this role
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.
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.
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.

Nice-to-haves

Nice to have skills

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mlaimachine learningaws

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