Join to apply for the Machine Learning Engineer, Perception role at Plus.
Plus is a global provider of highly automated and fully autonomous driving solutions, headquartered in Silicon Valley, California. Recognized by Forbes as one of America’s Best Startup Employers and by Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with major vehicle manufacturers and global partners, Plus aims to make driving safer, more comfortable, and more sustainable.
We are seeking a highly skilled Machine Learning Engineer with expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, especially LiDAR. You will design 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 fusing camera, LiDAR, and radar inputs.
* Benchmark perception models using large-scale datasets and quantitative metrics.
* Collaborate with research, data, and deployment teams to refine models for real-world applications.
* Focus on performance, robustness, and scalability for deployment in production systems.
Required Skills:
* Master’s or Ph.D. in AI, Computer Science, Electrical Engineering, Robotics, or related fields.
* Proficiency in Python and experience with deep learning pipelines.
* Expertise in PyTorch, TensorFlow, or JAX.
* Experience with LiDAR-based 3D perception and BEV models.
* Understanding of multimodal sensor fusion architectures and techniques.
* Knowledge of camera, LiDAR, and radar modalities, including synchronization and calibration.
* Solid foundation in computer vision, deep learning, and 3D geometry.
Preferred Skills:
* 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.
Opportunities at Plus:
Work, learn, and grow in a highly innovative, future-oriented environment with opportunities for personal and professional development.
Job Details:
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: Engineering and Information Technology
* Industries: Software Development
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