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Software Engineer - Machine Learning
Design and implement cutting-edge perception systems for autonomous vehicles.
Remote
Mid-Level
2 weeks ago
Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale
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✨ About The Role
- The role involves designing and implementing capabilities and workflows for advanced real-world perception or planning/prediction systems.
- Successful candidates will leverage established products at Applied Intuition to build the software and infrastructure foundation for machine learning developments.
- The position requires contributions to a dynamic and customer-focused team culture, emphasizing best practices in the autonomy industry.
- The company values hands-on individuals who are eager to make a significant impact in the development of autonomous systems.
- The role is based in an office environment, with an expectation of primarily working from the office five days a week, while allowing for some flexibility.
âš¡ Requirements
- The ideal candidate will have a strong background in machine learning, particularly in the context of perception, prediction, or planning for autonomous vehicles or mobile robots.
- A minimum of 3 years of experience in building production software using modern software practices is essential for success in this role.
- Candidates should possess fluency in C++ or Python, with intermediate experience in C++ being a valuable asset.
- A deep understanding of the concepts and methods behind machine learning frameworks and libraries is crucial for this position.
- Experience with production-level machine learning and deep learning perception algorithms for autonomous vehicles will be highly regarded.
About Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale