Hungry for a challenge?
Our mission? To empower every food moment around the world, whether it’s through
customer service, coding or couriers.
About this role:
Join our Customer Data Science (CDS) team and build the engine that powers our customer experience. You won’t just tweak existing models; you will deploy ML and AI solutions that shape how millions of users discover our apps. Backed by a state-of-the-art ML platform and some of the richest datasets in the industry, this is your chance to move beyond proof-of-concepts and see your work drive real-world impact.
These are some ingredients to the role:
- Impact at Scale: Your algorithms will solve complex ranking and search problems, instantly affecting the user journey for millions of customers.
- Cutting-Edge Tech: Pioneer the integration of Generative AI, Large Language Models, and real-time features into our foundation models and search and recommendation engines.
- Autonomy: We trust you to lead well-defined assignments independently, owning projects from conception to production.
- Growth Culture: Work alongside highly skilled colleagues in an ambitious, diverse team that prioritizes your development and career progression.
- Build & Deploy: Take a hands-on role in exploring data and building training pipelines to ensure models are scalable, robust, and solve real business problems.
- Innovate with GenAI: Apply Generative AI approaches to create hyper-personalized experiences in our apps.
- Drive Decisions: Partner with stakeholders to transform business needs into actionable methodologies, using your evaluations to influence product strategy.
- Engineer for Success: Collaborate with Data and ML Engineers to enhance pipelines and apply MLOps best practices across the model lifecycle
What will you bring to the table?
- The Experience: Hands-on data science experience with a track record of building ML/AI solutions that drive quantifiable business value.
- Strong Foundations: A solid grasp of data mining, feature engineering, modeling, and evaluation specifically within the search and recommendations domain.
- The GenAI Edge: Practical experience applying Large Language Models (LLMs) and Vector Search techniques (e.g., semantic retrieval, embeddings).
- Evidence-Driven: The ability to design and evaluate both ML models and LLMs in offline and online experiments.
- The Toolkit: Fluent in Python with the ability to write clean, testable code that integrates seamlessly with engineering workflows.
- SQL Mastery: Expert navigation of complex data warehouses (BigQuery) to wrangle huge datasets without hand-holding.
- The Mindset: An analytical problem solver who values simplicity, brings clarity to ambiguous questions, and communicates complex insights effectively to any audience.
At JET, this is on the menu:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
Inclusion, Diversity & Belonging
