Engineering Manager, ML-Driven Behavior Planning

applied

Sunnyvale (CA)

On-site

USD 285,000 - 405,000

Full time

5 days ago
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Benefits offered by this job

Equity
Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401k with employer match
Learning stipend
Wellness stipend
Paid time off

Job summary

Applied Intuition, Inc. in Sunnyvale is seeking an experienced Engineering Manager to bring advanced AI research to production deployment.

This is a hands-on leadership role, balancing architecture reviews, model debugging, and team building to scale state-of-the-art AV planning models for safety-critical environments. You will own the full ML model lifecycle from data curation and training to deployment and monitoring, while evolving the architecture toward an L4 end-to-end stack.

Qualifications

  • MS or PhD in Computer Science, Robotics, Machine Learning, or related field.
  • 3+ years engineering mgmt, tech lead, or senior staff engineer experience.
  • 3+ years specialized experience with learned behavior, agent intent prediction, or ML-centric motion planning.
  • Proven track record shipping ML models into production on physical hardware.

Responsibilities

  • Drive the production roadmap for ML-powered behavior planning systems, replacing or augmenting traditional heuristics with ML models.
  • Set technical direction and hiring strategy to build a team capable of operating at the edge of behavior systems.
  • Serve as the technical bridge between the Research Group and product engineering by translating experimental models into safety-certified, real-time production systems.
  • Own the full model lifecycle from data curation and training through evaluation, deployment, and production monitoring, not just modeling in isolation.
  • Evolve the architecture to achieve the final goal of an L4 end-to-end stack.
  • Work cross functionally with other teams, including Perception, Simulation, and Vehicle Operations, to ensure the robust and efficient integration of the behavior software stack.
  • Identify where research advances can absorb work the product engineering teams don’t have bandwidth for, and productionize those capabilities for them.

Skills

MS/PhD in CS/Robotics/ML
Engineering Mgmt/Tech Lead
ML-centric motion planning
Shipping ML models to production

Education

MS/PhD in Computer Science, Robotics, ML or related field

Job description

Applied Intuition, Inc. in Sunnyvale is seeking an experienced Engineering Manager to bring advanced AI research to production deployment.

This is a hands-on leadership role, balancing architecture reviews, model debugging, and team building to scale state-of-the-art AV planning models for safety-critical environments. You will own the full ML model lifecycle from data curation and training to deployment and monitoring, while evolving the architecture toward an L4 end-to-end stack.

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