Senior Machine Learning Engineer
Oxford, England, United Kingdom
Oxa
Oxa is a global leader in autonomous vehicle software for businesses. Any vehicle. Any environment. Any purpose.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 our Calibration team, where we develop cutting edge calibration algorithms to enable our world class autonomous technology to change the world.
Your Role
- Introducing advanced Machine Learning (ML) algorithms to sensor calibration
- Leading efforts in specific feature development
- Apply deep learning techniques to enhance sensor data calibration and fusion processes.
- Conduct sensor calibration to ensure data accuracy and reliability.
- Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs.
- Analyze and interpret complex data sets to drive algorithm improvements and performance enhancements.
- Implement and test machine learning models and algorithms in real-world scenarios.
- Guiding colleagues to develop ML skills and capabilities across the team
Requirements
What you will need to succeed:
- Excellent ML knowledge and understanding specializing in sensor calibration
- Good software development skills in Python
- Ability to communicate complex technical matters to your managers and your peers
- Ability to balance research against delivering tangible results
- Familiarity with ML frameworks such as Pytorch and/or Tensorflow
Extra Kudos if you have:
- Experience with robotics applications
- Familiarity with Google Cloud
- Experience with traditional computer vision techniques
Benefits
We provide:
- Competitive salary, benchmarked against the market and reviewed annually
- Hybrid and/or flexible work arrangements
- An outstanding £2,000 flexible benefits including private medical insurance, critical illness coverage, life assurance, EAP, group income protection
- 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
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.We also apply a neuro inclusive lens to our recruitment process and want each potential Oxbot to enjoy the best experience possible for them. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Vision Deep Learning GCP Generative AI Google Cloud Machine Learning ML models Python PyTorch Research Robotics TensorFlow
Perks/benefits: Career development Competitive pay Gear Health care Medical leave Pet friendly
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