Engineering Manager II - ML Platform
Description For Engineering Manager II - ML Platform
Uber is seeking an Engineering Manager II for their ML Platform team in Amsterdam, Netherlands. This role requires strong technical leadership, hands-on engineering experience, and expertise in machine learning and AI. The ideal candidate will lead and manage high-performing engineering teams, have a solid foundation in software engineering, and possess proficiency with ML frameworks like TensorFlow or PyTorch. Key responsibilities include cross-functional collaboration, executing complex roadmaps, and maintaining high-quality standards. The role offers opportunities to work on cutting-edge ML/AI technologies and contribute to Uber's innovative projects. Candidates with advanced ML/AI experience, high-performance computing expertise, and open-source contributions will have an advantage. Uber values diversity and encourages applications from all backgrounds. The position offers a hybrid work arrangement, with employees expected to spend at least half of their work time in the assigned office.
Responsibilities For Engineering Manager II - ML Platform
- Lead and manage high-performing engineering teams in the ML and AI domain
- Build and deploy robust, scalable systems
- Work cross-functionally and communicate effectively across different departments
- Execute complex roadmaps and deliver projects on time
- Maintain high-quality standards in ML and AI projects
Requirements For Engineering Manager II - ML Platform
- Demonstrated ability to lead and manage high-performing engineering teams in ML and AI
- Strong foundation in software engineering
- Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or similar
- Deep understanding of the ML lifecycle
- Proven ability to work cross-functionally and communicate effectively
- Solid history of executing complex roadmaps and delivering projects on time
Benefits For Engineering Manager II - ML Platform
- Opportunity to work on cutting-edge ML/AI technologies
- Hybrid work arrangement
