Machine Learning Engineer

About us

We are creating a new category of sports technology by redefining the way skill-based sports are taught with cutting-edge hardware, real-time audio instruction, AI-driven data analytics and content curated by the best instructors in their industries.

Our first product, Carv, focuses on skiing and was launched in 2016. We are venture-backed and growing at a rapid pace, recording over 170 million skiing turns, doubling our user-base and selling out for 4 years in a row. We now deliver more hours of ski coaching than any other ski school every year.

Carv’s smart inserts retrofit to any ski boot to measure pressure and motion. The data is then processed by your phone to deliver turn-by-turn coaching through your headphones and a breakdown of your technique in our app.

About the role

Over the past three ski seasons, we’ve collected terabytes of skiing data covering tens of millions of skiing turns and user instructions. We are looking for a passionate Machine Learning Engineer to join our growing data science team so we can help everyone ski better.

You will be researching and developing novel applications of machine learning to understand the conditions of a skier, measure their skiing technique and optimise our coaching to make sure our skiers are given the right coaching intervention at the right time. You will work closely within our tight-knit team of data scientists. We’re a passionate group who love skiing and thinking up new ways to apply technology to sports coaching.

The successful candidate will have a passion for all things machine learning, as well as sports and making an impact on the business.

In the role, you will be:

• Researching and applying the most promising models to help Carv improve the core aspects of its coaching product.

• Working quickly and efficiently from initial research and experimentation through to deploying and monitoring models.

• Hands on encoding time series data with novel machine learning algorithms such as RNNs, CNNs and attention-based methods.

Requirements

Our candidate is someone who has:

• BSc, MSc or PhD degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry

• 3+ years experience of working in machine learning in industry.

• Strong knowledge and experience of Python

• Knowledge of machine learning and statistics

• Proven experience of PyTorch/Tensorflow or similar ML frameworks

• Hands-on Software Engineering experience and experience working on large-scale ML projects highly desirable

• Proven experience applying machine learning to solve projects in industry, in particular experience in reinforcement learning, time series, unsupervised & self-supervised learning or sequential recommendation systems will be highly valued.

• Great communication skills and strong interpersonal skills

Location

Our head office is in Vauxhall, London where most of the team are based throughout the year.

Over winter, you’ll have the opportunity to work from our Mountain HQ in Innsbruck, Austria with access to some of the world’s best ski resorts. You’ll also have access to the company flat for personal trips outside of the peak skiing season.

Remote work

We prefer 2 days per week in either our London or Innsbruck office, but will accept 100% remote if your timezone is within an hour of London.

Visa

Sponsorship available.

Duration

Full time, immediate start available.

Remuneration

• £50k to £70k per year with equity options

• Innsbruck ski pass, giving you access to all local resorts for the duration of the season

• Travel between Innsbruck and London

• Usage of company Innsbruck accommodation throughout the year

Applications

Please send a CV and covering email to team@getcarv.com