Staff Backend Engineer, Customer Value Optimization

Description

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.

Design, build, and own robust, scalable infrastructure for live serving of ML models in production

Act as the technical bridge between Data Science and Backend Engineering teams within the CVO tribe — translating Data Science needs into scalable engineering solutions

Define and drive best practices for model serving, APIs, and system design across squads

Lead cross-squad technical initiatives, from architecture decisions to hands-on implementation

Partner with Data Scientists to ensure models are production-ready — performant, observable, and maintainable

Contribute to tribe-wide engineering standards and shape the technical roadmap

Mentor and support engineers across squads without direct line management responsibility

What you’ll bring

7+ years of backend engineering experience, with a strong foundation in Python

Proven experience building and operating ML model serving systems or ML platforms in production

Deep understanding of distributed systems, APIs, and micro services architecture

Strong track record of working across team boundaries to deliver complex, cross-functional projects

Excellent communication skills — able to work fluently with Data Scientists, Machine Learning Engineers, and Data Engineers

A collaborative, low-ego approach with strong technical judgment

Responsibilities

• 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.
• Design, build, and own robust, scalable infrastructure for live serving of ML models in production
• Act as the technical bridge between Data Science and Backend Engineering teams within the CVO tribe — translating Data Science needs into scalable engineering solutions
• Define and drive best practices for model serving, APIs, and system design across squads
• Lead cross-squad technical initiatives, from architecture decisions to hands-on implementation
• Partner with Data Scientists to ensure models are production-ready — performant, observable, and maintainable
• Contribute to tribe-wide engineering standards and shape the technical roadmap
• Mentor and support engineers across squads without direct line management responsibility
• What you’ll bring
• 7+ years of backend engineering experience, with a strong foundation in Python
• Proven experience building and operating ML model serving systems or ML platforms in production
• Deep understanding of distributed systems, APIs, and micro services architecture
• Strong track record of working across team boundaries to deliver complex, cross-functional projects
• Excellent communication skills — able to work fluently with Data Scientists, Machine Learning Engineers, and Data Engineers
• A collaborative, low-ego approach with strong technical judgment

Requirements

• Experience with ML frameworks and serving tools
• Familiarity with feature stores, model registries, or MLOps tooling
• Background in e-commerce, subscription, or personalization domains

Benefits

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
• 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 CAD