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(Fermé)Plus.ai

Machine Learning Engineer, Perception

  • +2
  • +5
  • US
    Santa Clara, California
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  • +2
  • +5
  • US
    Santa Clara, California

À propos

We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird's Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding.
Responsibilities:
    • Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.
    • Benchmark perception models using large-scale datasets and well-defined quantitative metrics.
    • Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.
    • Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.

Required Skills:
    • Master's or Ph.D. in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
    • Proficiency in Python and experience building deep learning pipelines.
    • Strong expertise in PyTorch, TensorFlow, or JAX.
    • Proven experience with LiDAR-based 3D perception and BEV representation models
    • Deep understanding of multimodal sensor fusion architectures and techniques.
    • Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.
    • Solid foundation in computer vision, deep learning, and 3D geometry.

Preferred Skills:
    • Industry or academic experience in autonomous vehicle perception, robotics, or related areas.
    • Hands-on experience developing deep learning models in real-world or production environments.
    • Experience with distributed training, high-performance computing, or GPU acceleration.

$145,000 - $200,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.

Compétences idéales

  • Python
  • PyTorch
  • TensorFlow
  • Computer Vision
  • Deep Learning
  • Santa Clara, California

Expérience professionnelle

  • Machine Learning
  • Computer Vision

Compétences linguistiques

  • English
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