Senior Data Engineer

4 months ago

Oxford, United Kingdom Oxa Autonomy Full time

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.

Requirements

What you need to succeed:

Degree in Computer Science, Mathematics or a related field. 3+ years of professional experience developing behavioural machine learning technologies for autonomous vehicles or robotics. Experience with production ML pipelines: data creation and curation, training frameworks, evaluation pipelines. Fluency in Python and experience with data analysis libraries and packages. Proven record of leading and delivering projects as part of a team. Effective technical communication and leadership skills. An appreciation for the role of safety, security and ethics in AI.

Extra kudos:

PhD or MSc in Computer Science, Mathematics, or related field. Relevant publications or talks at industry conferences or in journals. Familiarity with open benchmark datasets for autonomous vehicles (, Waymo, nuScenes/nuPlan, Argoverse, Level 5, etc.) Experience developing and fielding autonomous systems. Familiarity with Google Cloud Platform.

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.

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

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