Staff Backend Engineer, Customer Value Optimization
At a glance
Senior Backend Engineering role at HelloFresh. Toronto · CA$182,000–CA$215,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build and maintain production infrastructure that serves machine-learning models reliably at scale
- Turn data scientists’ requirements into backend systems by working across the tribe’s squads
- Set shared approaches for model serving, APIs and system design, then lead related technical work across squads
- Work with data scientists to make models perform well and remain observable and maintainable in production
- Shape engineering standards and technical plans while mentoring engineers without managing them directly
What you bring
- At least seven years in backend engineering, with strong Python skills
- You have built and operated production systems for serving machine-learning models or running ML platforms
- You understand distributed systems, APIs and microservices, and have delivered complex projects across team boundaries
Who this fits
This is a senior individual-contributor role for someone comfortable connecting data science and backend engineering across teams. You’ll mentor engineers but won’t have direct reports. The role is based in Toronto and uses a flexible hybrid arrangement with at least three office days each week.
From the employer
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
- 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
Nice to Have
- Experience with ML frameworks and serving tools
- Familiarity with feature stores, model registries, or MLOps tooling
- Background in e-commerce, subscription, or personalization domains
What we offer?
- 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.
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
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