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# Senior Machine Learning Engineer, Perception

- **Company:** PlusAI, Inc.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Big Data, Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, Sensor Fusion, Pytorch, Deep Learning, Information Technology, Lidar
- **Published:** November 2, 2026
- **Apply:** https://www.juju.com/job/16_82f76800

## About the Role

* 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.

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.

## 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. 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.
 * 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.