Senior Machine Learning Engineer, Perception
Hybrid Santa Clara Full-time Senior Machine Learning Engineering
At a glance
Senior Machine Learning Engineering role at PlusAI. Santa Clara · full-time · $150,000–$200,000 base.
SalaryStated by PlusAI
$150,000 – $200,000
Base salary for this role, in USD per year, as published in the posting.
This role, from PlusAIOur estimate for the market: $175,000–$217,750Median $213,600
Below the market median of $213,600 for senior machine learning engineering roles in Santa Clara.
Worked out from 5 postings that stated pay, median $213,600. Last updated Oct 3, 2026.
RoleMachine Learning Engineering
SenioritySenior
LocationSanta Clara
WorkplaceHybrid
EmploymentFull-time
Base pay$150,000–$200,000
PostedAug 4, 2026 · 2mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build and tune bird’s-eye-view perception models that combine camera, LiDAR and radar data
- Measure model quality on large datasets using defined quantitative metrics
- Work with research, data and deployment engineers to adapt perception models for real-world use
- Prepare perception algorithms for production, focusing on performance, robustness and scale
- Follow the quality system and help monitor team compliance and improve processes
What you bring
- A master’s degree plus three years of industry experience, or a Ph.D., in a relevant technical field
- Strong Python and deep-learning pipeline skills, with expertise in PyTorch, TensorFlow or JAX
- Hands-on LiDAR-based 3D perception and bird’s-eye-view modeling experience
- Knowledge of sensor fusion and how camera, LiDAR and radar data are synchronized, calibrated and combined
Who this fits
This senior role suits someone focused on multimodal perception for autonomous driving, with a strong grounding in computer vision, deep learning and 3D geometry. It is based in Santa Clara and listed as hybrid. The posting welcomes Ph.D. graduates as well as master’s graduates with industry experience.
From the employer
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
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.
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.
Required Skills:
- 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.