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Senior/Principal Machine Learning Engineer

Roles & Responsibilities

  • Advanced degree (Ph.D. or Master's) in computer science, computer engineering, mathematics, physics, or related field
  • In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques
  • Knowledge of generative models, model distillation, or model inference acceleration
  • Familiarity with PyTorch, TensorFlow, and other machine learning platforms

Requirements:

  • Develop solutions for autonomous driving from experimentation to full commercialization
  • Explore new ideas using deep learning, neural networks, and large foundation models
  • Work on object detection, tracking, prediction, planning, control, online mapping, and related ML tasks
  • Manage the full life cycle of machine learning projects, including data analysis and model verification

Job description

This is a remote position.

Senior/Principal Machine Learning Engineer

200-300k

Remote position possible


*** This is NOT Financial, Recommendation Engines, Healthcare, etc. This IS Autonomous Driving. Previous experience a must.***

 

 

Description

  • Develop solutions for autonomous driving, from experimentation to full commercialization.
  • Explore new ideas using deep learning, neural networks, and large foundation models.
  • Work on object detection, tracking, prediction, planning, control, online mapping, and more.
  • Manage the full life cycle of machine learning projects, including data analysis and model verification.
  • Collaborate with product, simulation, and algorithm teams to integrate machine learning technologies.


Requirements

Qualifications

  • Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
  • In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
  • Knowledge of generative models, model distillation, or model inference acceleration.
  • Familiarity with PyTorch, TensorFlow, and other machine learning platforms.
  • Ability to work independently in a fast-paced environment and collaborate on complex projects.
  • A track record of research publications in top conferences/journals is preferred.

 



Benefits

Benefits

  • Work on cutting-edge autonomous navigation technology.
  • Opportunity to contribute to world-first innovations.
  • Vibrant and fast-paced work environment.
  • Exposure to cross-team projects and collaboration.
  • Chance to transform dreams into reality in the future of transportation.
  • Excellent salary and benefits – chance to get in on the ground floor!



Salary: 200-300k

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