Head of AI/ML Engineering — Build, Scale & Lead Impact

StockX; Chicago (IL); On-site; USD 225,000 - 275,000; Full time

Job summary

StockX is seeking an accomplished ML Engineering Leader to shape our AI/ML roadmap, build a world-class team, and deliver measurable business impact across search, recommendations, pricing, forecasting, and fraud detection.

You will partner with Product, Data Science, and business leaders to align investments with customer needs and scale ML platforms for reliable, cost‑effective delivery.

Qualifications

• 10+ years of hands-on experience in ML engineering or applied science.
• 7+ years of practical ML or data science experience (computer vision, multi-modal learning, search or recommendations).
• 5+ years of engineering leadership experience, including hiring and leading multiple 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.
• Clear, compelling communication and the ability to influence senior leaders and prioritize effectively.

Responsibilities

• Own the AI/ML engineering strategy and roadmap, aligning investments with 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, from classical ML to generative AI.
• Drive rigorous experimentation and A/B testing to measure impact and optimize resource use.
• Scale ML platforms and MLOps practices for fast, reliable, cost-effective shipping.
• Own hiring, performance, and investment tradeoffs with senior stakeholders.

Skills

Leadership

Communication

Cross-functional

Experimentation

ML systems

Education

Advanced degree

Tools

AWS

Shared ML platforms

Job description

StockX is seeking an accomplished ML Engineering Leader to shape our AI/ML roadmap, build a world-class team, and deliver measurable business impact across search, recommendations, pricing, forecasting, and fraud detection.

You will partner with Product, Data Science, and business leaders to align investments with customer needs and scale ML platforms for reliable, cost‑effective delivery.