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    Senior Research Engineer - Oxford, United Kingdom - Oxa Autonomy

    Oxa Autonomy
    Oxa Autonomy Oxford, United Kingdom

    1 week ago

    Default job background
    Full time
    Description

    Your Role

  • 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, visualisation and comparison of synthetically generated driving scenarios
  • Developing state of the art techniques and processes for assuring data coverage
  • Keeping up with the latest advances in Machine Learning research, and applying relevant techniques to Oxa MetaDriver
  • Contributing to the development tools and process to support the scenario synthesis, acquisition of data, software-in-loop simulation and ML frameworks
  • Developing model optimisation techniques
  • Developing data visualisation tools
  • Contributing to the creation of appropriate data tools that support, amplify, and accelerate our scaling of our system for development, testing, and commercial requirements.
  • Contributing to the drive for efficiency around use of data in the company
  • Contributing to the effort in making sure the right data is available at the right time
  • across our technology platform,
  • for our development processes, and
  • for our deployments while in use with customers and partners.
  • 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:

  • A deep understanding of Reinforcement Learning
  • Experience with one or more of: Imitation Learning, Representation Learning, 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.

    • Extra kudos will be awarded for:

  • Experience with efficiently benchmarking and validating synthetic data
  • Familiarity with cloud platforms, preferably Google Cloud Platform (GCP)
  • Experience with MLOps
  • Experience working with driving simulators, autonomous driving software, or traffic modelling
  • Familiarity with C or C++

    • Benefits

    We provide:

  • Competitive salary, benchmarked against the market and reviewed annually
  • Company share programme
  • Hybrid and/or flexible work arrangements
  • Core benefits of market leading private healthcare, life assurance, critical illness cover, income protection, alongside a company paid health cash plan (including gym discounts)
  • A flexible £2,000 (pro-rata) benefits fund to spend on additional benefits of your choice, including tech scheme and cycle to work benefits
  • A salary exchange pension plan
  • 25 days' annual leave plus bank holidays
  • A pet-friendly office environment
  • Safe assigned spaces for team members with individual and diverse needs
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