Machine Learning Engineering Manager, App SW

Added
1 day ago
Type
Full time
Salary
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Related skills

robotics machine learning ml oem controls

πŸ“‹ Description

  • Lead the new Application Engineering team in the US, focusing on localising and advancing
  • Build and mentor a US-based team across robotics, ML, and systems integration.
  • Drive full-cycle autonomy features tailored to US road conditions and driving norms.
  • Collaborate with OEM partners and US product/vehicle operations teams.

🎯 Requirements

  • Strong robotics and autonomy background with real-world deployment experience.
  • Proven leadership of engineering teams, ideally distributed or independent.
  • Ability to define goals, roadmaps, and deliver with minimal supervision.
  • Broad fluency across software, ML, controls, and systems integration.
  • Excellent communication and stakeholder management, especially with OEMs.
  • Desirable: experience in autonomous vehicles, US road environment, and ML for real-time

🎁 Benefits

  • Hybrid work policy with in-office and remote days.
  • Competitive equity package; salary aligned with experience.
  • Flexible core hours to accommodate time zones.
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