Sensor Sim - ML Engineer
Join Applied Intuition as a senior ML Engineer to enhance sensor simulation with cutting-edge machine learning techniques.
Posted by employer 7 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 22 hours ago
Skills & Technologies
AI in the day-to-day
Drive research, development and deployment of generative and other machine learning techniques into our sensor simulator.
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the engineer focuses on integrating advanced machine learning techniques into sensor simulation, collaborating with research teams to enhance models for various sensors like Lidar and Radar. Key skills include a strong foundation in machine learning, experience with generative models, and knowledge of 3D geometry. This position is ideal for seasoned professionals with over five years of relevant experience who are passionate about applying their expertise to real-world autonomous systems. Applied Intuition emphasizes a collaborative environment, working closely with teams dedicated to impactful production projects.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Applied Intuition's careers page October 29, 2026.
- Machine Learning appears in 18.3% of 551 comparable senior ai/ml roles in United States; generative models appears in 0.4% of 551 comparable senior ai/ml roles in United States.
Quick facts
- Is the Sensor Sim - ML Engineer role remote?
- No — this is an on-site role in Sunnyvale.
- How much experience is required?
- At least 5 years of relevant experience for this Sensor Sim - ML Engineer role.
- Where is the role based?
- Applied Intuition is hiring for this position in Sunnyvale.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: 3D Geometry, LiDAR, Machine Learning, Optical Flow, Radar, camera.
- What seniority level is this role?
- Applied Intuition targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sensor Sim - ML Engineer role at Applied Intuition.
From the original posting
Meet our software engineers!
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.
About the role
We are looking for a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras.
At Applied Intuition, you will:
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.
We're looking for someone who has:
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
Nice to have:
Experience working with Generative World Models (Cosmos, UniSim, sora-style architectures)
Experience with robotics simulation products (IssacSim, MuJoCo, Omniverse, USD)
Experience with applying synthetic data to machine learning tasks
Hands on experience with characterization of models for Lidar, Radar, and Camera
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of 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, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Standard company text repeated across Applied Intuition's postings is omitted here.