Machine Learning Engineer, Vision

About Motorway

Motorway is the UK’s fastest-growing used car marketplace – our award winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of over 250 across 4 locations.

Motorway is now valued at over $1 billion and is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better.

About the role

At Motorway, we are building a world-class data science organisation, with a mission to enable the highest quality human and machine decision making. We’re placing data scientists throughout the company - in product, business and platform teams so that we can push the boundaries of vehicle profiling and valuation automation for our car sellers and dealers. We move fast, we’re always looking for new ideas and we’re very transparent about the decisions we make and why we make them.

Machine Learning Engineers at Motorway are part of the overall data science team, and we’re building a strong, active data science community, a robust technical review process; a career progression framework with clear career pathways for both managers and individual contributors.

In this role, you will be working to create the most convenient and powerful vehicle selling experience by leveraging machine learning technology to aid vehicle profiling and damage detection.

Requirements

What we’re looking for:

• You are someone who knows the fundamentals of machine learning knows when they should be applied
• You are a true expert in one or two areas of expertise in machine learning (i.e. Vision, time series forecasting, meta-heuristics, etc.)
• You are a keen problem solver, able to think deeply about a business problem and devise a well-thought-out and pragmatic algorithmic solution. And you get satisfaction from seeing your algorithms shipped and driving measurable impact to the business
• Experience working with Machine Learning and Computer Vision for object detection, object recognition & object segmentation in both 2D images and 3D
• Experience deploying ML models both on cloud and mobile devices
• Experience working with Pytorch, Tensorflow, OpenCV & Amazon AWS

Benefits

• A competitive salary.
• Annual learning budget with access to General Assembly courses, an Audible subscription and hundreds of books and online lessons.
• BUPA health insurance.
• Pension scheme.
• Motorway car leasing scheme - lease a zero-emissions electric vehicle at a significant discount
• Enhanced maternity/paternity leave.
• Hybrid working with the option to work from home for a month per year.
• Top spec M1 MacBook Pro and accessories.
• Regular social events.
• Cycle to work scheme.
• The chance to join a rapidly growing, revenue-generating startup and build products that will change an industry.
• The chance to work with the latest and greatest technologies, free from legacy systems and red tape.
• If you’re into cars, opportunities to work with vehicle data and learn about the automotive industry. We also have some fun, car-related activities (as well as non-car fun too!)

Equal Opportunities Statement:

Motorway is committed to equality of opportunity for all employees. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. We believe our workforce should reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

We welcome applications from all individuals regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

Given the continued spread of COVID-19 (coronavirus), all interviews will be conducted by phone or virtual connection to protect our candidates and employees.

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