Staff ML Engineer
You will play a central role in shaping how millions of riders and drivers move through cities every day. You'll sit at the intersection of machine learning, optimization, and real-world operations, turning complex, multi-dimensional challenges into the real-time intelligence that powers a mass-scale automated dispatch system. You'll work on problems that are genuinely hard, at a scale that is genuinely rare, where the solutions you build have a direct and visible impact on the efficiency and reliability of transit networks around the world.
Responsibilities
- Own the development of ML models and optimization algorithms that drive real-time dispatch decisions across thousands of simultaneous rides, drivers, and operational constraints
- Design and implement online algorithms for real-time decision-making, balancing system utilization with high quality of service
- Model and mathematically represent competing demands on the system, translating operational complexity into tractable formulations
- Use statistical methods to analyse demand patterns, traffic dynamics, and fleet performance to inform algorithm development and strategy
- Collaborate with engineering, product, and operations teams to bring algorithmic work from research and prototyping through to production deployment and iteration
Requirements
- Advanced degree (M.Sc. or PhD) in Computer Science, Mathematics or a closely related field, with a strong background in Machine Learning
- 8+ years of industry experience shipping machine learning models at production scale
- Deep, hands-on expertise in Machine Learning, with significant experience in reinforcement learning for complex, dynamic or constrained systems
- Excellent coding skills in Python or similar
- Strong applied research mindset able to translate ambiguous business/operational challenges into tractable ML formulations
- Strong communication skills and collaborative mindset
Benefits
- Health insurance with a discount for family members
- Hybrid work and an office in the heart of TLV, close to the light rail and train station
- Freefit and other sports lessons
- 10bis/Cibus subsidy
- Happy hours, team events, and communities
