Sensor Sim - ML Engineer

Job description

Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates.

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week.

Job 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 .

Job requirements

A Bachelor's degree in Computer Science, Software Engineering, or equivalent
5+ years of experience building software components or (sub) systems that address real-world machine learning challenges
A passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of 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 who can apply various techniques to new problems
Understanding of 3D geometry, optical flow or video generation

Apply on Applied Intuition website Save

Sensor Sim - ML Engineer

Job description

Job responsibilities

Job requirements

Similar jobs