ML Prediction and Planner - Lead jobs in United States
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Applied Intuition · 2 days ago

ML Prediction and Planner - Lead

Applied Intuition is a vehicle intelligence company focused on accelerating the adoption of safe, AI-driven machines. The role involves leading the engineering team in developing machine learning models for autonomous vehicles, collaborating with various teams to optimize the autonomy stack, and mentoring ML engineers.

Artificial Intelligence (AI)Autonomous VehiclesEnterprise SoftwareInfrastructureSoftware
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H1B Sponsor Likelynote

Responsibilities

Lead the development of machine learning models for joint behavior prediction and planning, with the goal of end-to-end differentiable autonomy
Architect integrated ML systems that reason over latent scene representations from perception to directly inform or generate trajectory decisions
Implement data-driven approaches that optimize the full autonomy stack jointly
Collaborate tightly with Perception, Mapping, and Simulation teams to design shared representations and scalable training loops, including imitation and reinforcement learning
Mentor a team of ML engineers focused on reasoning, joint prediction and planning, and generalization across ODDs, aligned with the trucking roadmap

Qualification

Machine LearningAutonomous VehiclesC++PythonReinforcement LearningImitation LearningDeep Neural NetworksMentoringScalable Training PipelinesGenerative AIJoint PredictionPlanningTeam Leadership

Required

5+ years of industry experience in autonomous driving expertise in developing and deploying machine learning models for prediction and planning in autonomous vehicle systems
Background architecting integrated ML systems that connect perception, prediction, and planning modules
Proficiency in C++ and Python for large-scale ML system development
Experience mentoring and leading teams of ML engineers in large-scale, cross-functional projects

Preferred

MS or PhD in computer science, robotics, or a related technical field
Experience with imitation learning, reinforcement learning, and scalable training pipelines for autonomous driving
Familiarity with generative AI, deep neural networks, and state-of-the-art ML frameworks (e.g., TensorFlow, PyTorch)
Prior work on joint prediction and planning models for Level 4 or higher autonomous vehicles

Company

Applied Intuition

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Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale.

H1B Sponsorship

Applied Intuition has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (122)
2024 (56)
2023 (33)
2022 (16)
2021 (4)

Funding

Current Stage
Late Stage
Total Funding
$1.5B
Key Investors
General Catalyst
2025-06-17Series F· $600M
2024-07-25Secondary Market· $300M
2024-03-11Series E· $250M

Leadership Team

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Qasar Younis
Co-Founder and CEO
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Peter Ludwig
CTO and Co-founder
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Company data provided by crunchbase