
At Deliveroo, we have a world-class machine learning team whose mission is to help the company make better automated decisions at scale. We work on nearly every aspect of how the company runs, from how a customer discovers a great restaurant to when a rider arrives at your door, and everything in between. As machine-learning (ML) engineers and operations-research engineers, we work in cross-functional teams with data scientists, engineers, and product managers to build the algorithms that power our business. In our product teams, we are close to the business problems and have the freedom to tackle the most challenging ones. We design and implement a concrete pipeline that translates a fuzzy business problem into a concrete ML After that, we collaborate closely with the engineers to deploy our models and with the data scientists to test the algorithms' algorithms.
In addition, we strive for a positive impact for all our customers and will advocate for non-ML solutions when it makes more sense. Deliveroo solves problems others haven't thought of. By bringing together consumers, riders, and restaurants, we operate a three-sided marketplace. Prioritizing simplicity over unnecessary complexity, rigor over quick fixes, and incremental change based on experimentation are our priorities. Whenever possible, we will advocate for non-ML solutions for all our customers.
We use Snowflake and DBT for our data warehouse, Python for most everything pipeline related and analysis (with a few parts still in R), Tensor Flow for modelling, Kubernetes to orchestrate our workloads, and Jenkins to define our pipelines. Some of our most performance-critical algorithms are implemented in Rust.
Deliveroo's machine learning engineers report into our ML engineering management team. We have a strong, active machine learning and data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of learning opportunities. Career paths are available for managers as well as individual contributors.
We have ML engineers with backgrounds in mathematics, statistics, physics, engineering, computer science, operations research, and cognitive neuroscience. Machine learning may be formally taught to some and not to others. Our team consists of members from all over the world. We also have a dedicated committee for data science diversity.
We are looking for machine learning engineering managers to join our management team. Ideal candidates will:
- Managing machine learning engineers and data scientists and guiding their career development
- I have built and deployed machine learning algorithms within product teams
- Assist with designing and implementing machine learning algorithms; provide technical guidance
- Experience managing stakeholders across the organization and building roadmaps with cross-functional teams
- Assemble a team of individuals with diverse backgrounds and skills
- Be comfortable working in an extremely fast, constantly changing environment, with incredibly high standards
- Most care about achieving impact, so they adopt a pragmatic, flexible approach
- Experience with experiments and knowledge
Life at Deliveroo
We are a growing team, with very large impact, seeking to answer some of the most interesting questions out there. We move quickly, we always look for new ideas, and we are transparent about the decisions we make and why we make them.
In addition to the questions we need to answer, there are a number of other questions unanswered. With changing consumer habits, how does data and technology affect restaurant growth? How can we predict what someone wants to order for dinner long before the idea even crosses their mind? We are tackling tough problems at Deliveroo, and no challenge is too big for us. It means there is plenty of scope for growth and for personal impact since no project is owned by a specific team.
Benefits and Diversity
At Deliveroo, we know that people are the heart of the business. We prioritize their wellbeing. The company offers a wide range of competitive benefits covering health, family, finance, community, convenience, growth, time away, and relocation.
As we live in a world that is increasingly diverse and multicultural, a great workplace should reflect that. Therefore, we have no judgment when it comes to your gender, race, sexuality, religion, or secret aversion to coriander. Your only requirement is a passion for (most) food and the desire to join one of the hottest companies in the world.
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Please note that this list is our ideal candidate. If you have a slightly different profile but still feel you would be a good fit feel free to apply.
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