Applied Scientist - Scenario Expansion

Sep 05, 2023

Oxford, England, United Kingdom

Who are we?

Based in Oxford and with offices in Canada and the US, Oxa is an international startup founded in 2014 and scaling up rapidly (300+ Oxbots and growing).

As the global leader in our industry, we’re fuelled by a bold purpose: to make the Earth move better. From passenger shuttles to industrial vehicles, our operating system for Universal Autonomy™ is transforming the way people and goods are transported by enabling any vehicle, in any environment, to operate autonomously — safely, securely and efficiently.

Our technology is capturing investors’ imagination. To date we’ve raised $140 million in our Series C investment round. Accommodating growing demand from new and current shareholders, this funding is driving our expansion in North America and EMEA, and accelerating the deployment of our technology in domains where there is both urgent need and potential to scale.

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.

Your Role

  • As part of the MetaDriver Scenario Expansion team, you will be contributing to the development of state-of-the-art scenario synthesis tools and frameworks, ensuring the generation of effective and diverse driving scenarios for validating and improving autonomous vehicles
  • Ensure the company has enough data of the right kind and the right time from the right sources to sustain rapid improvement in its Universal Autonomy platform
  • Ensure suitable data acquisition execution across our own fleet and via our customers and partners using data synthesis and expansion, simulation, automatic annotation and logging where appropriate
  • Researching and developing state of the art pipelines for scenario synthesis, reinforcement learning, traffic modelling, representation learning
  • Researching and developing state of the art techniques and processes for assuring data coverage and benchmarking generated driving scenarios
  • 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
  • Working with other teams and leads in facilitating the creation of specialist tooling and processes, supporting the use of MetaDriver across the company
  • Contributing to the creation of appropriate data tools that support, amplify, and accelerate our scaling of our system for development, testing, and commercial requirements.


What you need to succeed:

  • A deep understanding of Machine Learning, with an emphasis on Reinforcement Learning and/or Self-supervised Learning, Representation Learning, Attention models
  • Experience with Machine Learning in a research environment
  • Knowledge of autonomous driving, experience with self-driving stacks, AV testing, traffic modelling, scenario synthesis is a plus
  • Python: Strong software development skills in Python (C++ is a bonus!)
  • ML skills for data amplification and synthesis

Extra kudos:

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

The Candidate Journey: Multi-Step and Two-Way

No-one wants to feel like a square peg in a round hole, so this process is designed to give you every chance to get the measure of us, and us of you. The various stages give you every opportunity to show your unique strengths and qualities, and enables each of us to establish if we’re a good fit for the other. If the fit is good and you’re selected, you’re then in a position to do great work and thrive, which is what everyone wants.


Compensation and Benefits

We provide:

  • Competitive salary, benchmarked against the market and reviewed annually
  • Company share programme
  • Hybrid and/or flexible work arrangements
  • An outstanding £3,000 flexible benefits including private medical insurance, critical illness coverage, life assurance, EAP, group income protection
  • Funded relocation support
  • Fully funded Visa sponsorship if required
  • 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.

Please share with us any individual needs or reasonable adjustments we may need to make in advance of commencing the interview process with us.

Learn more about our culture here


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