Senior Research Engineer, Machine Learning

2 weeks ago


Oxford Oxfordshire, United Kingdom Oxa Full time

Oxa is enabling the transition to self-driving vehicles through an initial focus on the most commercially advanced sector; 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.Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches. 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. It comprises a wide range of disciplines from ML and simulation, to application development, cloud engineering and data capture professionals.
Researching and developing state of the art pipelines for scenario synthesis, reinforcement learning, motion prediction, representation learning
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 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
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.

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.
Experience with efficiently benchmarking and validating synthetic data
Experience working with driving simulators, autonomous driving software, or traffic modelling
Familiarity with C or C++
Competitive salary, benchmarked against the market and reviewed annually
~ 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
~ Diversity is a marathon not a sprint We hire and nurture those we can learn from, valuing diversity and the innovation that this drives.



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