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    Senior Research Engineer - Oxford, United Kingdom - Oxa

    Oxa
    Oxa Oxford, United Kingdom

    1 week ago

    Default job background
    Technology / Internet
    Description
    Who are we?


    Oxa is enabling the transition to self-driving vehicles through an initial focus on the most commercially advanced sector; the autonomous shuttling of goods and people.


    We are home to some of the world's leading experts on autonomous vehicles, creating solutions such as Oxa Driver, equipping vehicles with full self-driving functionality; Oxa MetaDriver, using Generative AI to accelerate and assure the safety of deployments; and Oxa Hub, a set of cloud-based offerings for autonomous fleet management.

    Our technology is being deployed across the UK and the U.S, and we're partnering with a fast-growing ecosystem of operators, vehicle OEMs and equipment makers serving autonomous transportation globally as it advances.


    Based in Oxford, and with offices in Canada and the U.S, Oxa was founded in 2014 and is growing rapidly (350+ 'Oxbots' to date).

    Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches.

    The company has attracted $225 million from leading investors so far, with $140 million raised in the last Series C funding round in January 2023.

    Your Team


    MetaDriver is a suite of tools that combines generative AI, digital twins and simulation to accelerate machine learning and testing of self-driving technology before and during real-world use.

    You will join our Oxa MetaDriver Team which is responsible for delivering these technologies to both internal and external customers.

    It comprises a wide range of disciplines from ML and simulation, to application development, cloud engineering and data capture professionals.

    Specifically, you'll be working in the scenario expansion workstream.

    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

    Our Culture

    Diversity is a marathon not a sprint It is a journey with no destination.

    We are on a mission to unlock the benefits of self-driving technology to every person and organisation on the planet.

    We are creating an environment where everyone, from any background, can do their best work which put simply is the right thing to do.

    We hire and nurture those we can learn from, valuing diversity and the innovation that this drives.


    We apply a neuro inclusive lens to our recruitment process and want each potential Oxbot to enjoy the best experience possible for them.

    We promote an open and inclusive culture that empowers our Oxbots to bring their whole, authentic selves to work every day.

    Oxa is proud to be an inclusive organisation and, as such, we require all team members within our recruitment process to understand and deploy best practices focused on de-biasing the whole recruitment cycle.

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