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Senior/Staff Machine Learning Engineer, Planning

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PlusAI

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Location:
United States , Santa Clara

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Contract Type:
Not provided

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Salary:

130000.00 - 220000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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.

Requirements:

  • BS, MS, or PhD in Software, Robotics, or related field
  • 4+ years of machine learning engineering experience for robotics applications
  • Experience developing high-quality software from design and implementation to testing and deployment.
  • Expertise with Python, willingness to do some C++ development as needed.
  • Experience training with modern frameworks (e.g. PyTorch)
  • 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
What we offer:
  • Work, learn and grow in a highly future-oriented, innovative and dynamic field.
  • Wide range of opportunities for personal and professional development.
  • Catered free lunch, unlimited snacks and beverages.
  • Highly competitive salary and benefits package, including 401(k) plan.

Additional Information:

Job Posted:
January 11, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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