Senior Research Engineer (Scenario Expansion)
Skills
Computer EngineeringSoftware DevelopmentBenchmarkingComputer SimulationsData ScienceMlopsMachine Learning
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- A deep understanding of Reinforcement Learning
- Experience with Imitation Learning, Representation Learning, and Unsupervised Learning
- Experience with Machine Learning in a research environment
- Demonstrate proficiency in Python software development skills
- Machine Learning skills for data amplification and synthesis
- Solid software engineering design principles and up-to-date knowledge of Python best practices
- An ability to understand both technical and commercial requirements
Nice to have
- Efficient benchmarking and validation of synthetic data
- Familiarity with GCP
- Experience in MLOps
- Experience with driving simulators, autonomous driving software, or traffic modeling
Day to day
- Researching and developing state of the art pipelines for scenario synthesis, reinforcement learning, motion prediction, representation learning
- Contributing to tooling and processes for benchmarking, filtering, visualization, and comparison of synthetically generated driving scenarios
- Keeping up with the latest advances in Machine Learning research and applying relevant techniques to Oxa MetaDriver