Machine Learning Engineer – Operational Research

Job title:

Machine Learning Engineer – Operational Research

Company

Deliveroo

Job description

The Data & Science OrgAt Deliveroo, we have a world-class data and 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 can we connect restaurants, riders and customers most efficiently in order to deliver food as quickly as possible? 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?These are just some of the tough problems we are solving at Deliveroo. There is no challenge that cannot be yours; the scope for growth and personal impact is enormous. Data Scientists and Machine Learning Engineers at Deliveroo belong to an expert, thoughtful, and active community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things.The RoleAs a Machine Learning Engineer, you will play a crucial role in the development, implementation and maintenance of cutting-edge machine learning products. Your responsibilities will involve engineering sophisticated machine learning models, as well as refining and updating existing systems.In this team, you will develop the algorithmic and machine-learning systems that power Deliveroo’s delivery network. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make automated decisions at massive scale. The team has independence and works on some of the most interesting problems at the intersection of riders, consumers, and restaurants. We evaluate the performance of all our decision-making machines through our world-class experimentation platform.You will:

• Optimise our delivery network by making rider assignment decisions; predicting how long a leg of the delivery journey will take; or mitigating real-time delays.
• Enhance our simulation capabilities to more accurately predict the effects of algorithmic changes on our delivery network.
• Optimise consumer and rider fees.

Also, you will work alongside people who work on:

• The consumer experience by showing the most relevant restaurants and dishes.
• Detecting fraud and abuse from consumers, riders, and restaurants.
• Assisting restaurants in optimising their presence on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish.
• Creating an ML platform to improve our ML and optimisation capabilities.

You will report into a ML/OR Manager. This is a hybrid role that will be based in London.Requirements:

• You are someone who knows the fundamentals of machine learning and operational research and when they should be applied through a relevant PhD or work experience.
• You can translate fuzzy logistics and delivery problems or objectives into a well-thought-out algorithmic solution. You get satisfaction from seeing your algorithms shipped and driving measurable impact to the business.
• Experience in programming, where the work involves programming with Python, Rust and Go.
• Experience in discrete event simulations and/or combinatorial optimisation problems.
• Understand end-to-end model productionisation.
• A bias to simplicity, where you care most about achieving impact.

Nice to haves:

• Experience in solving Vehicle Routing Problems (VRP) and/or building large scale delivery network simulations
• Experience in any of the following areas: algorithms and data structures, parallel and distributed computing, high-performance computing

Why DeliverooOur mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.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.Workplace & BenefitsAt 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.DiversityAt 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.Please click here to view our candidate privacy policy.

Expected salary

Location

London

Job date

Sun, 10 Nov 2024 23:37:41 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.