Senior Machine Learning Engineer, Perception Jobs

Senior Machine Learning Engineer, Perception

PlusAI

Location:
United States, Santa Clara

Category:
IT - Software Development

Contract Type:
Not provided

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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