Staff Machine Learning Engineer at Deliveroo: Revolutionizing Food Delivery in London

Role Overview

Deliveroo is on a mission to transform the way people shop and eat, and at the heart of this transformation lies our Data + Science organization. We empower decision-making across our three-sided marketplace – consumers, riders, and merchants – using cutting-edge machine learning and data-driven insights. As a Staff Machine Learning Engineer in our Consumer Pricing team, you'll be a pivotal player in shaping the future of pricing strategies and marketplace dynamics.

You'll be joining a highly collaborative, cross-functional team responsible for designing and building intelligent decision-making systems that operate at massive scale. Your work will directly impact the experience of our customers, riders, and restaurant partners. The team is specifically focused on moving towards dynamic, personalized pricing strategies, considering factors like consumer behavior, loyalty programs, promotions, and real-time marketplace conditions.

This role provides the opportunity to not only build new systems from the ground up but also modernize existing infrastructure, tackling technical debt and incorporating richer data inputs. It's a blend of large-scale experimentation, incremental uplift modeling, and the deployment of production ML systems that have a tangible impact on customer behavior and business results.

A Day in the Life

As a Staff Machine Learning Engineer, your day-to-day activities will be varied and challenging, encompassing the full lifecycle of machine learning projects:

• Design and Development: You will design and build production-grade machine learning and optimization systems that power Deliveroo’s core decisions at scale. This includes selecting appropriate algorithms, designing data pipelines, and ensuring the scalability and reliability of your systems.
• Algorithm Development: You'll develop algorithms to optimize critical processes such as rider assignment, delivery time predictions, pricing strategies, and overall marketplace efficiency in real-time. This may involve working with diverse datasets and applying advanced techniques in machine learning and operations research.
• Collaboration: You'll collaborate closely with engineers, product managers, and data scientists to translate complex business problems into pragmatic algorithmic solutions. This requires strong communication skills and the ability to explain technical concepts to non-technical audiences.
• Experimentation: You'll evaluate the performance of your models and systems through robust experimentation, leveraging our world-class experimentation platform. This involves designing experiments, analyzing results, and iterating on your designs to improve performance.
• Technical Leadership: You'll provide technical leadership across multiple product areas, identifying and prioritizing opportunities for high-impact algorithmic improvements. This includes staying up-to-date with the latest advancements in machine learning and applying them to real-world problems.
• Mentoring and Coaching: You'll mentor and coach other engineers and data scientists, raising technical standards and improving how we apply ML and optimization across the business. This involves sharing your knowledge, providing guidance, and fostering a culture of continuous learning.

Why London?

London is a global hub for technology and innovation, offering a vibrant ecosystem for machine learning engineers. Working at Deliveroo's River Building HQ in London provides numerous advantages:

• Access to Talent: London attracts top talent from around the world, giving you the opportunity to work alongside some of the brightest minds in the field.
• Innovation Hub: London is a center for innovation, with numerous startups, research institutions, and tech companies pushing the boundaries of what's possible.
• Career Opportunities: London offers a wide range of career opportunities in machine learning, allowing you to grow and develop your skills.
• Cultural Diversity: London is a diverse and multicultural city, offering a rich cultural experience and the opportunity to interact with people from all backgrounds.
• Networking: London hosts numerous tech conferences, meetups, and networking events, providing opportunities to connect with other professionals in the field.

Career Path

As a Staff Machine Learning Engineer at Deliveroo, you'll have ample opportunities for career growth and advancement. Potential career paths include:

• Principal Engineer: Lead technical initiatives across multiple teams and contribute to the overall technical direction of the company.
• Engineering Manager: Manage a team of engineers and guide their professional development.
• Research Scientist: Focus on cutting-edge research in machine learning and apply it to real-world problems.
• Technical Product Manager: Bridge the gap between engineering and product, defining the technical roadmap for new features and products.

Salary & Benefits

Deliveroo offers a competitive salary and benefits package to attract and retain top talent. The salary range for a Staff Machine Learning Engineer in London typically falls between £90,000 and £150,000 per year, depending on experience and qualifications. In addition to salary, Deliveroo offers a comprehensive benefits package, including:

• Health Insurance: Comprehensive health insurance coverage for you and your family.
• Paid Time Off: Generous paid time off policy to allow you to recharge and spend time with loved ones.
• Pension Plan: A company-sponsored pension plan to help you save for retirement.
• Equity Options: Opportunity to own a piece of Deliveroo through equity options.
• Flexible Working: Flexible working hours and remote work opportunities to help you balance your work and personal life.
• Professional Development: A budget for professional development activities, such as conferences, training courses, and certifications.
• Employee Discounts: Discounts on Deliveroo orders and other perks.

Deliveroo Culture

Deliveroo fosters a vibrant and inclusive culture where employees are encouraged to be themselves and do their best work. We value collaboration, innovation, and a data-driven approach to decision-making. We also believe in giving back to the community and supporting causes that are important to our employees.

How to Apply

To apply for the Staff Machine Learning Engineer position at Deliveroo, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant skills and experience, and explain why you're interested in working at Deliveroo.

FAQ

1. What is Deliveroo? Deliveroo is an online food delivery company that connects customers with restaurants and riders.
2. What is the Data + Science organization? The Data + Science organization at Deliveroo uses data and machine learning to improve decision-making across our three-sided marketplace.
3. What is the Consumer Pricing team? The Consumer Pricing team is responsible for designing and building intelligent pricing systems that optimize the experience of our customers, riders, and merchants.
4. What skills are required for this role? Strong foundations in machine learning and/or operations research, deep expertise in pricing, forecasting, optimization, NLP, meta heuristics, or large scale ML systems, proven experience designing and shipping impactful algorithms, and excellent communication skills.
5. What are the responsibilities of this role? Designing and building production-grade machine learning and optimization systems, developing algorithms to optimize rider assignment, delivery time predictions, pricing, and marketplace efficiency, and partnering with engineers, product managers, and data scientists.
6. What is the interview process like? The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager.
7. What are the benefits of working at Deliveroo? Deliveroo offers a competitive salary, comprehensive health insurance, paid time off, a pension plan, equity options, flexible working hours, and a professional development budget.
8. What is the company culture like? Deliveroo fosters a vibrant and inclusive culture where employees are encouraged to be themselves and do their best work.
9. How can I apply for this role? You can apply for this role by submitting your resume and cover letter through our online application portal.
10. What is the location of this role? This role is located at Deliveroo's River Building HQ in London.