Vacancies

We are always looking for great people to join our team. Even if you’re not looking right away or we don’t have the right role for you right now, send us an email and your CV on Applications@LatentLogic.com and we can keep in touch. The types of people we typically look for are:  Machine Learning Engineers and Machine Learning Scientists (computer vision, reinforcement learning, learning from demonstration, robotics and control); Software Engineers; Product Managers

  • We welcome permanent hires and interns / fixed term contracts for a minimum of six months.
  • We have a collaborative learning environment. Prior work experience or knowledge of autonomous cars is not required.
  • We believe hard problems like ours can only be cracked by people from different perspectives and backgrounds coming together with a shared mission. We are committed to improving the diversity and inclusiveness of our industry.
  • International candidates are welcomed, and we can sponsor Tier 2 visas.

You can see the roles we're currently recruiting for below.

Latest vacancies

Software Developer Closing date: 2019-06-30

We are looking for a Software Developer to join our team and help integrate our virtual humans with our customers’ simulation systems. This will initially involve development of the U.I, with subsequent opportunity to take on more cross functional responsibility for developing the broader software stack.
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Robotics Engineer Closing date: 2019-06-30

We are looking for a Robotics Engineer to reinforce our team and contribute to the development of our autonomous systems. You will work directly with our CTO, and develop control, navigation and decision-making algorithms.
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Machine Learning Scientist Closing date: 2019-06-30

We are looking for a Machine Learning Scientist to join our Imitation Learning team on a full- time basis, reporting into our CTO. The successful candidate will manage 1 or more machine learning engineers, contribute to the development of state-of-the-art Imitation Learning (IL) and reinforcement learning (RL) algorithms, and oversee their application to learn control policies for simulated traffic agents from real-world data.
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Machine Learning Engineer Closing date: 2019-06-30

This role reports into the Research Scientists leading the Imitation Learning team and is responsible for research and development on state-of-the-art methods to practical problems on the topics of agent modelling using imitation learning.
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Applying for: Machine Learning Engineer

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