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.
