Your Role
1. Researching and developing state of the art pipelines for scenario synthesis, reinforcement learning, motion prediction, representation learning
2. Contributing to tooling and processes for benchmarking, filtering, visualisation and comparison of synthetically generated driving scenarios
3. Developing state of the art techniques and processes for assuring data coverage
4. Keeping up with the latest advances in Machine Learning research, and applying relevant techniques to Oxa MetaDriver
5. Contributing to the development tools and process to support the scenario synthesis, acquisition of data, software-in-loop simulation and ML frameworks
6. Developing model optimisation techniques
7. Developing data visualisation tools
8. Contributing to the creation of appropriate data tools that support, amplify, and accelerate our scaling of our system for development, testing, and commercial requirements.
9. Contributing to the drive for efficiency around use of data in the company
10. Contributing to the effort in making sure the right data is available at the right time
11. across our technology platform,
12. for our development processes, and
13. for our deployments while in use with customers and partners.
14. Working with other teams and leads in facilitating the creation of specialist tooling and process supporting the company wide data-agenda in both the data team and in specialist teams.
Requirements
What you need to succeed:
15. A deep understanding of Reinforcement Learning
16. Experience with one or more of: Imitation Learning, Representation Learning, Unsupervised Learning
17. Experience with Machine Learning in a research environment
18. Demonstrate proficiency in Python software development skills
19. Machine Learning skills for data amplification and synthesis
20. Solid software engineering design principles and up-to-date knowledge of Python best practices
21. An ability to understand both technical and commercial requirements.
Extra kudos will be awarded for:
22. Experience with efficiently benchmarking and validating synthetic data
23. Familiarity with cloud platforms, preferably Google Cloud Platform (GCP)
24. Experience with MLOps
25. Experience working with driving simulators, autonomous driving software, or traffic modelling
26. Familiarity with C or C++
Benefits
We provide:
27. Competitive salary, benchmarked against the market and reviewed annually
28. Company share programme
29. Hybrid and/or flexible work arrangements
30. Core benefits of market leading private healthcare, life assurance, critical illness cover, income protection, alongside a company paid health cash plan (including gym discounts)
31. A flexible £2,000 (pro-rata) benefits fund to spend on additional benefits of your choice, including tech scheme and cycle to work benefits
32. A salary exchange pension plan
33. 25 days’ annual leave plus bank holidays
34. A pet-friendly office environment
35. Safe assigned spaces for team members with individual and diverse needs