Machine Learning Engineer - Behavior and Planning
$151k - $258k • Sunnyvale • FullTime
Posted 2mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Applied Intuition is seeking a Machine Learning Engineer with expertise in ML-first behavior prediction and planning to develop modules that predict the future trajectories and behaviors of road users and their interactions. You will collaborate closely with perception and planning teams on areas like training data generation and ML-based planner development, as well as with research teams on state-of-the-art architectures. Your work will directly impact diverse domains such as passenger vehicles, trucking, and mining, contributing to the advancement of autonomous systems. This role offers a dynamic, customer-focused team culture where you can learn and apply best practices in the autonomy industry.
Responsibilities
- Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms for generating driving trajectories for autonomous vehicles and other road users.
- Build the software and infrastructure foundation for behavior-specific ML development using established Applied Intuition products.
- Collaborate with perception and planning engineers, as well as research teams, on state-of-the-art models and techniques.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization.
- Experience with the end-to-end development cycle of deep learning models.
- 2+ years of experience building production software using modern software practices.
- Fluency in Python with intermediate experience in C++.
Benefits
- Base salary
- Equity (options and/or restricted stock units)
- Comprehensive health, dental, and vision insurance
- Life and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off