Senior Machine Learning Engineer

Oxford, England, United Kingdom

Applications have closed

Oxbotica

Oxa is a global leader in autonomous vehicle software for businesses. Any vehicle. Any environment. Any purpose.

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How would you build a vehicle that perceives what is happening in an off-road environment? Without compromising safety? A system that learns to navigate a solar farm, a mine, or refinery - all without GPS? And can then do the same on-road, delivering shopping in urban areas, or shuttling people around a city centre? We are building Universal Autonomy, we think differently, and would welcome you, if you would like to make the Earth move.

Are you a machine learning engineer, who is a deep learning expert working in perception? Do dynamic occupancy grids and laser pointclouds make your eyes light up? Maybe you’ve practised sensor fusion and employed classical object tracking techniques? If you care about safety, or have built safety-related systems then read on...

We are an international startup, scaling-up rapidly (250+ and growing). Our base is in Oxford, but we are hiring in multiple countries, and have hybrid and/or flexible work arrangements. The problems we are solving require diversity of thought, so we are committed to, and welcome diverse backgrounds and individuality.

The Role

Joining us as a Senior Machine Learning Engineer, you will be working in our “Perception” team. Initially focused on developing laser-based dynamic occupancy grid mapping, your role will work directly with your peers to solve autonomy challenges with a safety focus. You will develop techniques to generate self-supervised training data, at scale, using Python, as well as multimodal perception algorithms.

Requirements

What you bring:

  • Deep learning expert working in Perception
  • Python: experience developing ML pipelines (from training to deployment)

Extra kudos if you have:

  • C++

Benefits

What we provide:

  • Competitive salary
  • Company share programme
  • Hybrid and/or flexible work arrangements
  • £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

About Oxbotica

At Oxbotica, we’re fuelled by a bold purpose: to make the Earth move.

From passenger shuttles to industrial vehicles; from congested city streets to mines, our industry-leading autonomy software platform enables any vehicle to operate itself safely, securely and efficiently. We call it Universal Autonomy. It is changing how people and goods move.

We are a world-class team guided by a shared vision to bring the benefits of autonomy to our customers and users. Using our skills, experience and diversity, we are solving the most exciting and important technological challenges of our times, and creating a safer and more sustainable future for people and our planet.

Our 250+ (and growing) team members in the UK and Canada are building, scaling and commercialising our universal autonomy software to serve immediate market and deployment opportunities.

We’re seeking bold, creative, hyper-skilled people to join us. Come create the future of autonomy with us at Oxbotica. Become an “Oxbot”.

Our Culture

At Oxbotica, our diverse and inclusive culture fuels our growth. We celebrate individuality, foster an environment in which trust and respect flourish, and believe that innovation thrives when powered by different perspectives, experiences and ideas. Our purpose, values and principles anchor us as we grow.

Learn more about our culture here

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Deep Learning Industrial Machine Learning Pipelines Python

Perks/benefits: Career development Competitive pay Flex hours Health care Medical leave Pet friendly Relocation support Startup environment

Region: Europe
Country: United Kingdom
Job stats:  11  1  0

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