P
PlusAI
Senior/Staff Machine Learning Engineer (Motion Planning)
Skills
Deep LearningPythonPyTorchMachine Learning
2 months ago
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Important information
Contract type:
Permanent
Salary:
$130,000 – $220,000 / year
Location:
Santa Clara, CA, USA
Work mode:
Onsite
Published on:
19 August 2026
What they need
- We’re looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet
- Use complex map and perception sensor output to develop novel deep learning models for our planning stack
- Design critical safety checks to ensure driving trajectories are feasible and follow rules of road
- Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments
- Track and incorporate the latest multidisciplinary research advancements in a fast-moving field
- Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
- Ensure that technical work meets customer requirements, regulatory standards, and company quality policies
Benefits
- Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
- Flexible working: Flexibile work arrangements and technology to help manage life’s demands at the office and remote
- Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
- Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
- Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
- Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices- Experience developing high-quality software from design and implementation to testing and deployment
- A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics
- Hands-on familiarity with cloud data ingestion pipelines
- Strong communication and collaborative skills
- 4+ years of machine learning engineering experience for robotics applications
- BS, MS, or PhD in Software, Robotics, or related field
- Experience training with modern frameworks (e.g. PyTorch)
- Expertise with Python, willingness to do some C++ development as needed
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