A
Applied Intuition
Frontend
Machine Learning Software Engineer
C++Python
About the Position
Applied Intuition is powering the future of physical AI. We are looking for software engineers with expertise in ML-first perception, prediction or planning for autonomous vehicles.
Responsibilities
- Design and implement capabilities and workflows for cutting-edge real-world perception or planning/prediction systems
- Leverage established products at Applied Intuition to build the software and infrastructure foundation for our ML developments
Requirements
- Experience with the end-to-end development cycle of deep learning models
- Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
- 3+ years of experience building production software using modern software practices
- Fluency in C++, or fluency in Python with intermediate experience in C++
- Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with
- Experience working with production level ML and DL perception algorithms for autonomous vehicles
- MSc or PhD in machine learning, ideally applied to perception, prediction, planning or closely related field
- Experience building and shipping software frameworks or tools
- Experience with driver assistance or autonomous driving systems
- Experience in evaluating and improving system-in-the-loop model performance
- Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, or distributed systems
Benefits
- Lunch and dinner allowance
- Fitness (600 USD) and learning stipends (1,000 USD) annually
- Stock options
Machine Learning Software Engineer
View Original