Machine Learning Manager - Agentic Modeling
Booking.com · District de Tel Aviv
תיאור המשרה
About the role
Booking.com is looking for a Machine Learning Manager to lead the Agentic Modeling team, which builds production‑grade AI agents for various product experiences. You will guide a group of ML scientists and engineers, shape the platform roadmap, and contribute hands‑on to code when needed.
Key responsibilities
- Lead and mentor a team of ML scientists, data engineers, and ML engineers developing reusable agent types, strategies, and SDK capabilities.
- Define the technical vision and roadmap for the agentic modeling platform across multiple missions such as Trip Planning, Search, and Trip Support.
- Drive development of advanced agent planning, reasoning, memory, and multi‑agent collaboration patterns.
- Own integration with evaluation frameworks and production tooling to improve accuracy, latency, cost, and reliability.
- Improve developer experience by enhancing tooling and SDKs, ensuring fast iteration cycles for product teams.
Required profile
- At least 3 years of leadership experience managing ML teams in NLP, Generative AI, or Agentic AI.
- Deep knowledge of LLM‑based agent architectures, tool use, planning strategies, and memory systems.
- Master’s (6+ years experience) or PhD (4+ years experience) in a quantitative field such as Computer Science or AI.
- Proven track record of delivering large‑scale ML systems that generate measurable business value.
Required skills
- Python
- Java
- Kafka
- Hadoop
- SQL
- Spark (or similar big‑data processing framework)
- Version control systems (e.g., Git)
What we offer
- Competitive compensation and a comprehensive benefits package.
- Annual paid time off plus generous parental, grandparent, bereavement, and care leave.
- Hybrid working with flexible arrangements and up to 20 days per year remote work from abroad.
- Industry‑leading product discounts and Booking.com wallet credit.
- Commitment to diversity, equity, and inclusion across a global workforce.
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Booking.com
District de Tel Aviv
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