Related skills
ads machine learning architecture pricing production systemsπ Description
- Own the ML roadmap end to end, from problem to production.
- Design and ship recommendation systems and core ML products.
- Start hands-on: prototype, code, and iterate quickly.
- Hire and grow a high-ownership ML team.
- Raise the technical bar (architecture, reviews, standards, strategy).
π― Requirements
- Strong ML engineering background with production systems at scale.
- Experience in recommender systems, pricing, ads, or similar domains.
- Clear zero-to-one experience (founder/early stage or building new ML products/teams).
- Track record in fast-paced, high-ownership startups.
π Benefits
- Scale with a profitable, fast-growing startup.
- High-growth environment with ownership of projects.
- Generous bonus scheme to reward proactive work.
- Equal opportunity employer; diverse and inclusive.
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