Senior Machine Learning Engineer, Perception

{
  "content_hash": "a299b6f0e92c30c20b0c19ab18c70343f353f07d2baf690b3069eacfee7e3920",
  "source_hash": "f5c67e9082c393c863a65bdb9dfee39e405a71aa67a095696bc1657ed01a3ad8",
  "last_changed_at": "2026-05-29T06:58:18.050Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Santa Clara, CA",
    "city": "Santa Clara",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 200000,
  "salary_min": 145000,
  "inferred_at": "2026-06-06T07:56:17.752Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Santa Clara, CA",
      "city": "Santa Clara",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "lists": [
    {
      "text": "Responsibilities:",
      "content": "<li>Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.</li><li>Benchmark perception models using large-scale datasets and well-defined quantitative metrics.</li><li>Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.</li><li>Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.</li><li>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.</li><li>Ensure team compliance with QMS, monitor quality, and drive process improvements.</li>"
    },
    {
      "text": "Required Skills:",
      "content": "<li>Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.</li><li>Ph.D. new grad or Masters + 3 years industry experience </li><li>Proficiency in Python and experience building deep learning pipelines.</li><li>Strong expertise in PyTorch, TensorFlow, or JAX.</li><li>Proven experience with LiDAR-based 3D perception and BEV representation models</li><li>Deep understanding of multimodal sensor fusion architectures and techniques.</li><li>Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.</li><li>Solid foundation in computer vision, deep learning, and 3D geometry.</li>"
    },
    {
      "text": "Preferred Skills:",
      "content": "<li>Industry or academic experience in autonomous vehicle perception, robotics, or related areas.</li><li>Hands-on experience developing deep learning models in real-world or production environments.</li><li>Experience with distributed training, high-performance computing, or GPU acceleration.</li>"
    }
  ],
  "country": "US",
  "createdAt": 1746054228502,
  "updatedAt": null,
  "categories": {
    "team": "Perception",
    "location": "Santa Clara, CA",
    "commitment": "Full-time",
    "department": "US Research and Development",
    "allLocations": [
      "Santa Clara, CA"
    ]
  },
  "salaryRange": {
    "max": 200000,
    "min": 145000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}