Jobs · Engineering

Senior, Machine Learning Engineer - Camera Model

Ladders · United States · 3 wk ago
RemoteRemoteEngineering$177k/yrFull-time

About the role

For our client, we are seeking a Senior, Machine Learning Engineer - Camera Model to join the team of a leader in the Manufacturing & Automotive space. This role will focus on developing advanced deep learning solutions for camera-based perception within an autonomous driving environment. You will own the full model lifecycle, from data curation and training through deployment, while helping improve robustness across complex real-world driving scenarios. The position requires close collaboration with data and engineering partners to strengthen dataset quality, enhance large-scale training workflows, and integrate models into the broader autonomous system. Location: Remote - US based candidates only, no visa sponsorship available

Responsibilities

  • Design, develop, and deploy deep learning models for camera-based perception
  • Own the full model development process, including data curation and deployment
  • Write scalable, production-quality ML code for training and evaluation pipelines
  • Analyze diverse driving scenarios to improve model performance and robustness
  • Enhance large-scale training pipelines with a focus on dataset preparation and distributed training
  • Collaborate with data teams to optimize dataset quality and cover edge cases
  • Work closely with other teams to integrate models into the autonomous system

Qualifications

  • Bachelor's degree in CS, Robotics, EE, ML, or a related field with 6+ years of experience; Master's degree with 3+ years of experience; or PhD with 1+ year of experience
  • Expertise in developing and deploying deep learning models for vision or perception systems
  • Strong Python and PyTorch programming skills with production-quality code experience
  • Experience with large-scale datasets and distributed compute environments for model training
  • Good understanding of modern deep learning architectures, such as CNNs and transformers
  • Proficiency in debugging model performance and improving model reliability
  • Ability to tackle ambiguous problems with structured ML solutions and work independently

Benefits

  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexible scheduling with generous paid vacation starting immediately
  • Company-wide holiday office closures
  • AD+D and Life Insurance

Pay

$177,300+ annually

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