ML Engineer

### Who you are
- 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
- 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
- Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles

### What the job involves
- 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
- 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

### Benefits
- Health Insurance: Applied covers 100% of the cost and offers medical, dental, vision, and life insurance
- 401(k) Match: 50% employer matching to help you save money for retirement
- Fitness Stipend: Our wellness program supports your health and fitness goals. We pay for your trainers, gym memberships, massages, and more!
- Learning Stipend: We invest in your learning and growth by reimbursing you for educational and training expenses
- Parental leave: 12-week, fully paid parental leave to bond with a newborn child or new adopted or foster child
- Catered lunch, expensed dinner, on-site meals and snacks