Machine Learning Engineer - Routing & ETA

United States Digital Space LLC; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Deliveroo in London is hiring a Machine Learning Engineer for delivery ETA and routing optimization. You will own models powering ETA visibility for customers and signals used by dispatchers for rider allocation, working within a global DoorDash engineering setup.

You will collaborate with software engineers, data scientists and product managers to deploy scalable ML solutions that impact millions of orders across multiple markets, with a hybrid work pattern requiring three days in the office.

Qualifications

• 3+ years of experience as an ML Engineer or Data Scientist.
• Production-ready ML solutions experience.
• Strong understanding of ML fundamentals and modeling techniques.
• Experience building predictive models for forecasting or real-time decisions.
• Production deployment and software engineering practices.

Responsibilities

• Design and improve ETA and delivery-time prediction models for consumer experience.
• Build models used by dispatcher for automatic rider allocation.
• Improve prediction quality across markets and conditions.
• Productionise end-to-end ML solutions from concept to shipping code.
• Collaborate with engineers, data scientists and product managers to improve delivery-time usage.

Skills

Python

ML fundamentals

Production deployment

Forecasting

Software engineering

Job description

Machine Learning Engineer - Delivery (Routing/ETA)

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.

We’re looking for a Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office).

What You’ll Be Doing

In this role, you’ll help us develop the algorithmic and machine-learning systems that power the company, making automated decisions at massive scale across our three-sided marketplace.

You’ll be working on delivery-time prediction, owning the models that power the ETA a customer sees and the ETA-related signals used by our dispatcher when automatically allocating riders to orders.

• Design and improve ETA and delivery-time prediction models that power the consumer-facing experience across the company.
• Build models used by our dispatcher, helping inform the automatic allocation of riders to orders.
• Improve prediction quality and reliability across different markets, order types and delivery conditions.
• Productionise end-to-end ML solutions, moving from initial concept to shipping code that drives measurable impact across our marketplace.
• Collaborate in cross-functional squads alongside software engineers, data scientists and product managers to improve how delivery-time predictions are used across the platform.

What You’ll Need to Thrive

• Minimum 3+ years of experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python
• Experience applying machine learning and algorithmic solutions to complex business problems in production.
• Strong understanding of machine learning fundamentals and the ability to select and apply appropriate modelling techniques.
• Experience building predictive models, particularly around forecasting, time estimation or other real-time decision-making problems.
• Experience taking models through to production, with a solid grounding in software engineering principles.
• A bias for simplicity and a focus on achieving tangible business impact over theoretical complexity.
• Strong programming and statistical skills, with the ability to translate ambiguous business problems into practical technical solutions.

Why Join Us?

• Solve meaningful problems at real scale
• Work on a complex, always-on marketplace that impacts millions every day.
• See your impact, fastShip, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
• Grow through challenge and ownershipTake on big, ambiguous problems and accelerate your career with strong support.
• A culture built for buildersHigh standards, collaboration, flexible working and continuous learning.
• Competitive salary and equity options, so you’re rewarded for the impact you make.

Want a deeper look at how we build? Check out our Tech Blog.

Our Global Structure

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

Diversity, Equity and Inclusion

At the company, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.

We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.

If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.

If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!

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