Sensor Sim - ML Engineer
$60k - $300k • Sunnyvale • FullTime
Posted 5mo ago
Job Location
Sunnyvale
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Applied Intuition is seeking a Software Engineer to join our team focused on integrating modern machine learning techniques into production-grade sensor simulation. In this role, you will collaborate with our research team to apply state-of-the-art methods for modeling worlds and sensors like Lidars, Radars, and Cameras. You will drive the research, development, and deployment of generative and other machine learning techniques into our sensor simulator, working closely with rendering and physics-based modeling teams to create novel approaches that combine the best of various techniques. The focus will be on projects with a clear path to production value and customer impact.
Responsibilities
- Drive research, development, and deployment of generative and other machine learning techniques into our sensor simulator.
- Work closely with rendering and physics-based modeling teams to build novel approaches fusing the best of all techniques.
- Focus on projects with a clear path to production value and customer impact.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or equivalent.
- 5+ years of experience building software components or systems addressing real-world machine learning challenges.
- Passion for turning domain expertise into tooling that boosts productivity for teams working on autonomous systems.
- Hands-on experience with evaluation and optimization for large generative models.
- Hands-on experience with agentic system design.
- Deep understanding of machine learning foundations and ability to apply various techniques to new problems.
- Understanding of 3D geometry, optical flow, or video generation.
Benefits
- Base salary
- Equity (options and/or restricted stock units)
- Comprehensive health, dental, vision, life, and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off