Senior Machine Learning Engineer

The Company

Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.

The Team

At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams to answer some of the most interesting questions out there. For example, how do data and technology help restaurants to grow as consumer habits change? How can we predict what someone wants to order for dinner long before the idea has even crossed their mind? At Deliveroo these are just a couple of the tough problems we are solving - and there is no challenge that cannot be yours. No solution is owned by a particular team, which means the scope for growth and personal impact is enormous.

Data Scientists and ML Engineers at Deliveroo report into our data science management team, and we have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things.

This role sits within our Consumer Pricing team, and is a hybrid role based in Hyderabad with some expectations to come into the office.

The Role

You will develop the algorithmic and machine-learning systems that power Deliveroo's consumer pricing fees. Pricing is one of the most powerful levers within Deliveroo and is directly tied to our P&L: you'll be able to see the direct impact of your work on the company. You will work in a cross-functional team alongside other ML Engineers, Software Engineers, Data Scientists and Product Managers to develop systems that make automated decisions at massive scale. We evaluate the performance of all our decision-making machines through our world class experimentation platform.

Requirements

• 4+ years' experience as a ML Engineer or Data Scientist
• 4+ years' experience in Python
• Experience productionising ML models
• Experience using tools like Git, Docker, Kubernetes, CircleCI
• You know the fundamentals of machine learning and when they should be applied
• You can translate an unstructured business problem into a well-thought-out algorithmic solution
• You get satisfaction from seeing your algorithms shipped and driving measurable impact to the business
• Experience mentoring others in the team
• You have a bias to simplicity, where you care most about achieving impact

Workplace & Benefits

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

Diversity

At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.

We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.