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Senior Machine Learning Engineer

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Onsite

Senior Machine Learning Engineer

PlusAI

Senior Machine Learning Engineer

Skills

Deep LearningPythonPyTorchTensorFlowMachine LearningAIProcess ImprovementCompliance

2 months ago

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Important information


Salary:

$150,000 – $250,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

19 August 2026

What they need


Who you are

  • 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
  • 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
  • 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

What the job involves

  • Ou 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
  • 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

Benefits

  • Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
  • Flexible working: Flexibile work arrangements and technology to help manage life's demands at the office and remote
  • Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
  • Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
  • Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
  • Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices

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