Staff Backend Engineer, Customer Value Optimization
Required skills
- Python
- ML models
- production systems
- scalable infrastructure
- model serving
- APIs
- system design
- cross-functional projects
- Data Scientists
- Machine Learning Engineers
Nice to have
- ML frameworks
- ML serving tools
- feature stores
- model registries
- MLOps tooling
- e-commerce
Role summary
HelloFresh is seeking a Staff Backend Engineer for their Customer Value Optimization (CVO) tribe in Toronto. This individual contributor role bridges Data Science and Backend Engineering, focusing on building and scaling production systems for ML models. Responsibilities include designing robust infrastructure, defining model serving best practices, leading technical initiatives, and mentoring engineers. The ideal candidate has 7+ years of backend experience with Python, proven experience with ML model serving systems, and a deep understanding of distributed systems and APIs. Preferred experience includes MLOps tooling and e-commerce/subscription domains. The role offers a flexible hybrid work model with a minimum of 3 days in office per week.
The Role
We're looking for a Staff Backend Engineer to join our Customer Value Optimization (CVO) tribe at HelloFresh. This is a high-impact individual contributor role sitting at the intersection of Data Science and Backend Engineering. You'll be the technical bridge that turns ML models into reliable, scalable production systems. You'll work across squads within the CVO tribe, partnering closely with Data Scientists and Backend Engineers to define how we serve ML models at scale, raise the technical bar, and accelerate the tribe's ability to deliver value to our customers. The Customer Value Optimization (CVO) tribe exists to step-change HelloFresh Group's Growth performance through optimized pricing, personalized benefits, and accurate customer value prediction — enabling data-driven decisions that drive higher return on marketing and product investments. As our Staff Backend Engineer, you'll bridge Data Science and Engineering across the tribe's squads, shaping how we scale ML models into reliable production systems and raising the technical bar tribe-wide
What you’ll do
What you’ll bring
Nice to Have
What we offer?
Flexible Hybrid Approach
At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.
To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 3 days in office per week.
#LI-HYBRID
HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.
This is a posting for an existing vacancy. We are actively seeking to fill this position.
Toronto, ON Pay Range$182,000—$215,000 CADSample HelloFresh interview questions
- 1
What are the key components and considerations in designing a distributed file storage solution?
system designmedium - 2
Design a file sharing system like Dropbox.
system designmedium - 3
Aggressive Cows Maximize the minimum distance between aggressive cows in stalls. Input: stalls = [0,4,3,7,10,9], cows = 3 Output: 4 Explanation: Placing the cows at positions 0, 4, and 10 yields a maximum possible minimum distance of 4 between any two cows.
codingmedium - 4
Encode a list of strings into a single string and decode it back.
codingmedium - 5
Find all buildings that have an ocean view.
codingmedium
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