Machine Learning Researcher (Reinforcement Learning) - Vivacity Labs

Location: Kentish Town, London, UK
Closing date: 31 Jul 2021
Posted: 1 month, 2 weeks ago

To apply for this role, please fill out the online application form here

Salary: £45,000-65,000 p/a

About us

At Vivacity Labs, we make cities smarter. We gather real-time data from our sensors to reduce congestion, spot dangerous manoeuvres on the road to improve safety, and support autonomous vehicles.

Using Reinforcement Learning techniques at the forefront of academic and research thinking, we optimise traffic lights to prioritise cyclists and improve air quality. To support this, we gather anonymised data through simple, efficient, and affordable Computer Vision based sensors.

All our solutions are community-centric, using 'privacy by design' principles. Our ultimate goal is to make the European vision of a Smart City - one which makes the city work effectively, for the community.

About the role

We are looking for an energetic and experienced machine learning researcher to help us revolutionise the transport sector. As part of our growing research team, you will be designing and developing reinforcement learning algorithms for traffic signal control.

These algorithms will control real junctions, improving the journeys of millions of road users per year. This role comes at a critical time as the product moves from prototype to deployment across multiple cities.

Traffic Signal Control algorithms are at the heart of our latest product, Smart Junctions. As the company expands both within the UK and abroad, this is an exciting time to get involved in the core technology for a fast-moving, rapidly scaling start-up.

About you

You are an experienced researcher, excited to apply cutting-edge technologies to the real world. You have a solid understanding of deep learning, as well as the software development skills necessary to drive real world impact.

We welcome applications from all candidates and embrace diversity within our teams. If you are in any doubt as to whether you would be a good fit, please get in touch, or apply anyway and we will get back to you. We look forward to hearing from you!

Day to day tasks include

    • Design, implementation and evaluation of novel reinforcement learning algorithms and deep neural network architectures
    • Applied research and development to ensure agents are performing well in the real world
    • Collaborating with the broader team and inputting on the research
    • Contributing to the development of our RL software platform
    • Agile workflow, including version control and continuous integration systems
    • Analysis, visualisation, and exploration of traffic and ML training datasets
    • Finding and learning new libraries, tools, and processes

Requirements for the role

    • 1 year of experience with Reinforcement Learning
    • Evidence of research proficiency (e.g. PhD,  MRes, prior commercial research role)
    • 2 years of experience developing with Python
    • Passionate and creative problem-solver
    • Strong communication and teamworking skills

We offer flexible working policies and a benefits package that includes a personal development budget, an annual company away trip, and regular, varied events. This is an exciting opportunity to take an active part in shaping the future of an energetic company dedicated to revolutionising the way our cities work.

To apply for this role, please fill out the online application form here


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