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ML Prediction and Planner – Tech Lead

Applied Intuition is a leading vehicle intelligence company accelerating the adoption of safe, AI-driven vehicles. We are seeking a Tech Lead with expertise in machine learning prediction and planning to lead the development of integrated ML models for autonomous vehicle autonomy across perception, prediction, and planning systems.

Skills

  • Expertise in developing and deploying ML models for autonomous vehicle prediction and planning
  • Proficiency in C++ and Python for large-scale ML systems
  • Experience architecting integrated ML systems incorporating perception, prediction, and planning
  • Strong mentoring and team leadership abilities

Responsibilities

  • Lead development of ML models for joint behavior prediction and planning focusing on end-to-end differentiable autonomy
  • Architect integrated ML systems connecting perception to trajectory decision-making
  • Implement data-driven approaches optimizing the full autonomy stack jointly
  • Collaborate with Perception, Mapping, and Simulation teams on scalable training loops and shared representations
  • Mentor a team of ML engineers working on reasoning, prediction, and planning aligned with the trucking roadmap

Education

  • Bachelor’s degree or higher in computer science, robotics, or related technical fields

Benefits

  • Competitive salary range $199,295 - $264,500 annually
  • Opportunities to work on cutting-edge autonomous vehicle technologies
  • In-office working environment with flexible scheduling
  • Diverse and inclusive company culture with affirmative action commitment
To read the complete job description, please click on the ‘Apply’ button
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CEO of Applied Intuition
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Qasar Younis
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Average salary estimate

$231897.5 / YEARLY (est.)
min
max
$199295K
$264500K

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Applied Intuition equips engineering and product development teams with software that makes it faster, safer, and easier to bring autonomy to market.

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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$199,295/yr - $264,500/yr
EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
July 24, 2025
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