Senior Data Engineer (Reasoning ML)
Oxbotica
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
You will join a growing team of computer science and robotics experts leveraging machine learning, data and cloud infrastructure to build and deploy powerful on-vehicle reasoning capabilities. Your work will enable Oxa Driver™ to plan and execute sophisticated driving behaviours scalably across all of our customer domains using data-driven approaches.
Your Role
As our Senior Data Engineer (Reasoning ML), you will be responsible for creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified and resolved, and drive improvements to product quality, customer experience, and maintainability.
You will:
- Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models.
- Design and implement metrics for model validation and continuous monitoring in production.
- Leverage the Oxa Metadriver™ platform to generate synthetic data, and train effective and robust driving policies,
- Build cloud tooling and infrastructure in support of experimentation, evaluation and deployment workflows.
- Engage with team members and colleagues throughout the business to create an environment that supports collaboration and mutual understanding.
- Contribute to hiring and onboarding new team members, including mentoring and developing junior engineers.
