Staff/Senior Staff Research Engineer, Deep Learning

Plus
California
Responsibilities:

  • Develop Bird’s Eye View (BEV) perception models for autonomous driving applications
  • Develop Vision Language Models for scene understanding and action generation for autonomous driving applications
  • Complete ownership of project from ideation, design, developing data requirements, model training, evaluation and deployment
  • Research and prototype novel solutions which can help tackle the long-tail of real-world problems in challenging and diverse scenarios (e.g. on highway and local roads, extreme weather conditions, sensor failures, etc)
  • Collaborate cross-functionally to ensure model development keeps a real-time focus and operates efficiently in compute-constrained environments
  • Rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics

Required Skills:

  • MS or PhD in CS, EE, mathematics, statistics or related field
  • 3+ years of industry experience working on cutting edge deep learning applications
  • Expertise with Python, willingness to do some C++ development as needed.
  • Deep understanding of machine learning principles and methodologies
  • Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax)

Preferred Skills:

  • Relevant industry experience (prior work on self-driving vehicles, autonomy, computer vision and/or robotics projects)
  • Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation, vision-language models, end-to-end learning
  • In-depth understanding of cutting-edge deep learning techniques and architectures like transformers, CNNs
  • Expertise in machine learning or related field demonstrated by patents or publications in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)
  • Experience with ML Ops and best practices for scalable ML deployment

$180,000 - $250,000 a year

Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
Posted 2025-09-10

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