Applied Intuition is looking to solve the problem of generating labeled data for training machine learning systems, specifically in the context of synthetic data and annotations for autonomous vehicles.
Requirements
- Strong software engineering skills in Python and C++
- Competent skills & experience in computational geometry, linear algebra, optics, graphics, electro-optics, and physics
- Experience training perception models
- Familiarity with synthetic data and its applications in perception systems
- Experience with applying synthetic data to machine learning tasks
- Detailed knowledge of game pipelines and Unreal Engine
- Hands on experience with characterization of models for Lidar, Radar, and Camera
Responsibilities
- Design and implement core components of our sensor simulation and data generation pipeline
- Develop systems for programmatically generating ground-truth-labeled data from a simulated world
- Work with machine learning pipelines to understand and improve synthetic datasets
- Work with top autonomy companies to understand and solve unique challenges in perception with synthetic data
Other
- Bachelor's degree or higher in a relevant field (not explicitly mentioned but implied)
- Ability to work in an office environment 5 days a week, with occasional remote work
- Must be eligible to work in the location listed (US-based)
- Equal opportunity employer and federal contractor or subcontractor, with affirmative action requirements
- Comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off
