Staff Ml Engineer, Dynamic World Perception

Stack AV

Remote
Remote
State-of-the-art detection capabilities
Expansion and fusion of detection models
Model frameworks, architecture, and data pipelines
Stack AV is seeking a Staff Machine Learning Engineer for their Dynamic World Perception team, focused on developing advanced detection algorithms for autonomous systems in the trucking industry. The role requires extensive experience in deep learning, software engineering, and real-time robotic applications, with a commitment to safety and performance standards

Job Summary

  • The Dynamic World Perception team is responsible for real-time detection of road actors and properties, including developing occupancy networks and other perception algorithms.
  • We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded.
  • Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments.

Matching Summary

Match Score: 85

Stack AV is seeking a Staff Machine Learning Engineer for their Dynamic World Perception team, focused on developing advanced detection algorithms for autonomous systems in the trucking industry. The role requires extensive experience in deep learning, software engineering, and real-time robotic applications, with a commitment to safety and performance standards.

Skills & Requirements

Must-have

  • state-of-the-art detection capabilities
  • expansion and fusion of detection models
  • model frameworks, architecture, and data pipelines
  • robust software for onboard vehicle deployment
  • real-time, resource-constrained, safety-critical environments
  • cross-functional features and workstreams
  • technical direction of perception org
  • Python and C++ fluency

Nice-to-have

  • applied research project completion
  • sensor fusion experience

Key Requirements

  • Extensive experience architecting, training, and deploying deep learning models
  • Track record of driving applied research projects
  • Experience delivering detection, segmentation, and/or tracking solutions
  • Strong experience in software engineering and machine learning algorithm design

Work Rights

Not specified

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