Senior Engineer
4 weeks ago
- Take a leading role within your team to research, develop and deploy state of the art machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles.
- Create and curate datasets for training and validation of machine learning models.
- Design and develop high quality inference APIs, and support integration of deployed models into Oxa Driver™.
- Build cloud tooling and infrastructure in support of experimentation, evaluation and deployment workflows.
- Design and implement metrics for model validation and continuous monitoring in production.
- Engage with team members and colleagues throughout the business to create an environment that supports collaboration and mutual understanding.
- Contribute to hiring and onboarding by defining role responsibilities and requirements, leading interviews, engaging in recruiting outreach for your team, and mentoring and developing new team members.
- Degree in Computer Science, Robotics or a related field (e.g., Engineering, Physics, Mathematics).
- Previous years relevant professional experience in industry or academia.
- Experience developing deep learning models for Prediction, Decision Making or Planning for autonomous vehicles.
- Fluency in Python and working knowledge of C++.
- Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow)
- 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 robotics and AI.
- PhD or MSc in Computer Science or Robotics.
- Relevant publications or talks at industry conferences or in journals.
- Familiarity with open benchmark datasets for autonomous vehicles (e.g., Waymo, nuScenes/nuPlan, Argoverse, Level 5, etc.)
- Experience developing and fielding autonomous systems.
- Familiarity with Google Cloud Platform.
- 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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