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Senior Machine Learning Engineer, Perception

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PlusAI

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Location:
United States, Santa Clara

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

145000.00 - 200000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
  • Ensure team compliance with QMS, monitor quality, and drive process improvements

Requirements:

  • Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field
  • Ph.D. new grad or Masters + 3 years industry experience
  • 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

Nice to have:

  • 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

Additional Information:

Job Posted:
December 11, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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