about 5 hours ago
Base Salary
$189k - $390k/yr
Responsibilities
- Lead the design and implementation of large-scale recommendation and decisioning systems.
- Build ML foundations for a unified context layer and context agent.
- Own recommendation initiatives end-to-end, from problem framing to production deployment.
- Develop evaluation and feedback loops to measure recommendation quality and business impact.
- Apply modern ML techniques to enhance advertiser and seller workflows.
- Use AI to accelerate analysis, prototyping, and experimentation.
- Mentor engineers and raise the technical bar for ML development.
Requirements
- 7+ years of experience building and deploying large-scale ML systems in production.
- Degree in Computer Science, Mathematics, or a related technical field.
- Strong end-to-end ML ownership, including problem scoping and model training.
- Deep understanding of recommendation system architectures.
- Proven Staff-level technical leadership as a hands-on IC.
- Excellent cross-functional communication and collaboration skills.
- Experience using AI coding assistants and LLM-powered productivity tools.