Machine Learning Engineer

16th Apr 21 / vTime Admin

Working at the cutting edge of technology since 2013, vTime is a leading AR and VR engagement company based in Liverpool, UK. Best known for vTime XR - a cross-platform, cross-reality sociable network that allows anyone, anywhere to socialise in AR and VR, and vTag - an AR avatar messaging app, our immersive experiences are enjoyed by people in over 190 countries with more than one million downloads to date.

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Based in the heart of Liverpool’s Baltic Triangle - voted coolest place to live in Britain by The Times – our vibrant studio is home to some of the best development talent in the country. And we’re growing. We’re looking for a talented machine learning engineer to use cutting-edge techniques to build out product features at our Liverpool headquarters.

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Key information

  • Job title: Machine Learning Engineer
  • Reporting to: Technical Director
  • Employment Type: Full time
  • Salary: Competitive
  • Start date: Immediate
  • Location: vTime HQ, The Baltic Triangle, Liverpool - Remote Working during COVID19 restrictions.

About the Role

Summary

We’re looking for an adaptable and knowledgeable machine learning engineer to join the machine learning team of our organisation and help us to create innovative products and services. Your focus will be working with our design & engineering teams to empower our software with previously unattainable functionality. We are looking for someone who is comfortable taking a concept from a storyboard, sourcing necessary data, building prototypes and iterating upon them, through to developing a robust solution that is maintainable.

Responsibilities

  • Design and train models.
  • Identify and adapt/train suitable state-of-the-art models.
  • Identify suitable training data sources, gather data, and build data preparation pipelines.
  • Identify existing features/products that may be improved with machine learning.
  • Identify new features/products that may be made feasible with machine learning.

About You

Abilities

You will:

  • Be willing to learn, teach, and be adaptable
  • Be a resourceful and enthusiastic problem solver.
  • Have good communication and interpersonal skills.
  • Be able to work both independently and collaboratively in an agile environment.
  • Enjoy working in a fast-paced studio

Education, Qualifications, and Certificates

We’re looking for someone with:

  • A degree in computer science
  • OR equivalent professional qualifications
  • OR a degree in a discipline such as electrical engineering, mathematics, physics, etc., in conjunction with relevant experience.
  • Candidates with and without a PhD considered.

Knowledge and experience

Things you must have:

  • 1+ years experience specifically with deep learning.
  • Strong programming skills, with some experience with Python.
  • Experience with a deep learning framework, such as PyTorch (preferred), TensorFlow, Keras, Caffe, MXNet, etc.
  • A passion and curiosity for exploring new technologies.
  • Some broader understanding of machine learning outside of deep learning.

We’d be impressed if you had:

(the following skills and knowledge are desirable but unessential)

  • Experience with AWS, generally or for the deployment of machine learning models.
  • Experience with Git.
  • Experience gathering data and building data pipelines.
  • Experience with high dimensional sequence data (e.g., audio, video)
  • An understanding of / experience with transformer models and/or normalizing flows.

To apply, please send a CV (curriculum vitae) and cover letter to jobs@vtime.net with the subject line ‘Machine Learning Engineer’. Successful applicants will be invited to be interviewed remotely while the pandemic lockdown is in effect.


About us

vTime is a global leader in XR, creating innovative and engaging experiences and technology in all the new realities - virtual, augmented and mixed.

But, most of all, we're all about people. People have been our focus since our formation in 2013. Our goal has been to transform and disrupt the way that people around the world meet, communicate and share experiences in XR. We believe XR is the future and we intend to shape it with our vision.

And we're just as passionate about our own people. We believe that we have some of the best in the industry. And to get the best out of them, we also believe in giving them the best.

And because our success will only come from our team, we're totally committed to sharing that success with them.

So, if you'd like to build the future, yours and everyone else's, join us on our journey to the undiscovered country.

It's gonna be memorable...