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Motion Planning Machine Learning Engineer Jobs (NOW HIRING)

Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement learning * Strong programming skills in Python and experience with ...

... motion impacting millions of users. Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML ...

... motion impacting millions of users. Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML ...

... motion impacting millions of users. Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML ...

Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement learning * Strong programming skills in Python and experience with ...

Machine Learning Engineer

Raleigh, NC ยท On-site

$75 - $85/hr

Planner Researcher Critic Verifier Writer Orchestrator Implement shared memory, state management ... Machine Learning Engineering Build scalable AI and machine learning services deployed into ...

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the ... Key Responsibilities Design and implement agentic AI systems capable of planning, tool use, memory ...

$77K - $105K/yr

Senior Machine Learning Engineer, Vehicle Perception Woven by Toyota is enabling Toyota's once-in-a ... Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and ...

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Motion Planning Machine Learning Engineer information

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$52K

$100.3K

$137K

How much do motion planning machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for motion planning machine learning engineer in the United States is $100,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $128,000.00 per year, depending on experience, location, and employer.

What does a motion planning machine learning engineer do?

A Motion Planning Machine Learning Engineer designs and develops algorithms that enable autonomous systems, such as self-driving cars or robots, to navigate complex environments safely and efficiently. They combine knowledge of robotics, machine learning, and optimization to create models that help machines predict and plan their movements. Responsibilities often include training machine learning models on sensor data, simulating motion scenarios, and improving decision-making processes for real-time navigation. This role is critical in advancing the safety and reliability of autonomous technologies.

What are typical challenges motion planning machine learning engineers face when integrating machine learning models into autonomous vehicle systems?

Motion Planning Machine Learning Engineers often encounter challenges related to ensuring real-time performance and reliability when deploying machine learning models on autonomous vehicles. These systems must process complex sensor data and make split-second decisions, so models must be both accurate and computationally efficient. Additionally, engineers need to rigorously test their algorithms in diverse scenarios to handle edge cases and ensure safety. Collaborating closely with software, hardware, and testing teams is essential to address integration issues and maintain system robustness.

What are the key skills and qualifications needed to thrive as a motion planning machine learning engineer, and why are they important?

A Motion Planning Machine Learning Engineer requires a strong background in robotics, computer science, and mathematics, often with a degree in a related field and experience in motion planning algorithms. Familiarity with programming languages like Python or C++, robotics middleware such as ROS, and machine learning frameworks like TensorFlow or PyTorch is typically expected. Strong problem-solving abilities, collaboration, and adaptability are key soft skills for excelling in multidisciplinary teams and dynamic environments. These skills enable the engineer to develop robust, efficient, and intelligent motion planning solutions critical for autonomous systems.

What are popular job titles related to Motion Planning Machine Learning Engineer jobs?

For Motion Planning Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Motion Planning Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $100,259 per year, or $48.2 per hour.

Senior/Staff Machine Learning Engineer (Reinforcement Learning), Motion Planning

Santa Clara, CA โ€ข On-site

$130K - $220K/yr

Full-time

Retirement

Posted 14 days ago


Job description

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.
Responsibilities
  • Design, develop, and deploy learned behavior planning models using approaches such as reinforcement learning, behavior cloning, and imitation learning
  • Own end-to-end Reinforcement Learning pipeline from environment construction, training, and modeling.
  • Contribute to Reinforcement Learning Infrastructure to facilitate large-scale distributed training
  • Track model training, analyze model performance, identify failure modes to improve generalization across driving scenarios
  • Collaborate with simulation and planning teams to deploy learned behavior planning models to driving pipelines

Required skills
  • MS or PhD in Computer/Software Engineering, Robotics, Machine Learning or related field.
  • Experience developing production code in C/C++ and Python
  • Experience with machine learning frameworks such as PyTorch
  • Experience with reinforcement learning
  • Strong oral and written communication skills.

Preferred skills
  • Experience with high-throughput batched driving simulators such as GPUDrive and PufferDrive
  • Experience with self-play reinforcement learning
  • Experience with sim-to-real in the context of robotics / autonomous driving
  • Prior experience in learned behavior planning / prediction for autonomous vehicles

$130,000 - $220,000 a year
Your opportunities joining PlusAI
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.