Machine Learning Engineer - Growth & Personalisation

Deliveroo

United States

Hybrid

USD 140,000 - 190,000

Full time

9 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Deliveroo is seeking a Machine Learning Engineer to join our Growth & Personalisation efforts. The role focuses on building ranking and personalisation models across verticals like grocery and retail, with a strong emphasis on production-ready Python code.

You will work on surfaces that drive user engagement, including the homepage and notifications, collaborating across teams to scale impact in a global marketplace. This role sits within a multi-company, global effort with hybrid work options.

Qualifications

  • Written production-grade Python code for ML solutions.
  • Experience deploying ML models end-to-end.
  • Experience with personalisation, ranking, or recommender systems is valuable.

Responsibilities

  • Build and improve ranking models for vertical landing pages (grocery, retail).
  • Design models blending new-vertical content into a restaurant-focused homepage.
  • Build personalisation models translating user behaviour into relevant recommendations.
  • Contribute to notification targeting to drive adoption of new verticals.

Skills

Python production code
End-to-end model productionisation
Personalisation / ranking experience
Bias toward simplicity

Job description

Machine Learning Engineer - Growth & Personalisation

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).

Our New Verticals team exists to grow monthly active usage outside of restaurant ordering — groceries, retail, and everything in between. That means turning someone who only orders restaurant food into someone who also uses the app for a grocery run, and turning dormant users into active ones. You'll work on the surfaces that make that happen: the homepage, vertical landing pages, and the notifications that bring people back. This role sits closer to the personalisation and ranking side of that mission, working alongside colleagues across DoorDash, Deliveroo and Wolt.

What You'll Be Doing
  • Build and improve ranking models for vertical landing pages (grocery, retail), deciding what a user sees first when they land on a store page

  • Design models that blend new-vertical content into a homepage built around restaurant ordering, without disrupting the core experience

  • Build personalisation models that translate a user's existing behaviour into relevant recommendations for verticals they haven't tried yet

  • Contribute to notification targeting — who gets notified, with what message, and when, to drive adoption of new verticals

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 with end-to-end model productionisation

  • A bias to simplicity, where you care most about achieving impact

  • Background in personalisation, ranking, or recommender systems; exposure to causal inference or uplift modelling is a genuine plus but not expected

Why Join Us?

At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that impacts millions every day. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:

Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.

See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.

Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.

A culture built for builders
High standards, collaboration, flexible working and continuous learning.

Share in the success you help create
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 Deliveroo, 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!

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior Platform Engineer - Developer Platform
Senior Platform Engineer - Developer Platform

Deliveroo • United States

Hybrid
USD 142,000 - 190,000
Competitive salary
Equity options
Hybrid work
Software Engineer, Machine Learning Infrastructure
Software Engineer, Machine Learning Infrastructure

Deliveroo • United States

On-site
USD 140,000 - 190,000
Product Manager, Double Order
Product Manager, Double Order

Deliveroo • United States

Hybrid
USD 140,000 - 180,000
Impactful ML Engineer - Personalisation & Growth
Impactful ML Engineer - Personalisation & Growth

Deliveroo • United States

Hybrid
USD 140,000 - 190,000
Machine Learning Engineer, Marketplace Optimization
Machine Learning Engineer, Marketplace Optimization

DoorDash • Sunnyvale (CA)

On-site
USD 137,000 - 202,000
401(k) plan with employer matching
16 weeks of paid parental leave
Wellness and commuter benefits
+2
Staff Software Engineer, Machine Learning - Personalization
Staff Software Engineer, Machine Learning - Personalization

DoorDash • San Francisco (CA)

Hybrid
USD 137,000 - 202,000
401(k) plan with employer matching
16 weeks of paid parental leave
Medical, dental, and vision benefits
Senior Manager, Global HR Compliance
Senior Manager, Global HR Compliance

Deliveroo • United States

Hybrid
USD 140,000 - 190,000
Senior Staff Machine Learning Engineer, Consumer
Senior Staff Machine Learning Engineer, Consumer

DoorDash • San Francisco (CA)

On-site
USD 242,000 - 357,000
401(k) plan with employer matching
16 weeks paid parental leave
Wellness benefits
+2
Senior Staff Machine Learning Engineer, Consumer
Senior Staff Machine Learning Engineer, Consumer

DoorDash • Sunnyvale (CA)

On-site
USD 242,000 - 357,000
401(k) plan with employer matching
Health, dental, and vision benefits
16 weeks paid parental leave
+1
Staff Software Engineer, Machine Learning - Personalization
Staff Software Engineer, Machine Learning - Personalization

DoorDash USA • Sunnyvale (CA), San Francisco (CA)

On-site
USD 137,100 - 201,600
Health benefits
Paid parental leave
Wellness and financial benefits