Posted 15 Sep 2026 (52 days ago) · Job 10066 · Read from the employer's Greenhouse board, last checked 6 Nov 2026, 16:12 UTC

Staff Backend Engineer, Customer Value Optimization

HelloFresh · Toronto, Ontario, Canada

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What the posting says

Each fact was read from this posting and checked:Statedin the posting, quotedConflictsposted two ways, both shownNot mentionedwe looked; it is not there

PayStated
CAD 182,000–CAD 215,000 a year
Work arrangementStated
Hybrid
ExperienceStated
10+ years

Not mentioned in this posting

We read the whole posting. These are not in it. Not a no: ask the recruiter, in your own words.

Employment typeNot mentioned
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ShiftNot mentioned
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EducationNot mentioned
The posting does not say
Visa sponsorshipNot mentioned
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Requirements, each with its sentence from the posting

These are the employer’s words. The index does not judge whether you meet them.

  • Backend engineering experiencerequired

    7+ years of backend engineering experience, with a strong foundation in Pythonfrom the posting

  • Pythonrequired

    7+ years of backend engineering experience, with a strong foundation in Pythonfrom the posting

  • ML model serving systems in productionrequired

    Proven experience building and operating ML model serving systems or ML platforms in productionfrom the posting

  • Distributed systemsrequired

    Deep understanding of distributed systems, APIs, and micro services architecturefrom the posting

  • APIsrequired

    Deep understanding of distributed systems, APIs, and micro services architecturefrom the posting

  • Microservices architecturerequired

    Deep understanding of distributed systems, APIs, and micro services architecturefrom the posting

  • Cross-functional project deliveryrequired

    Strong track record of working across team boundaries to deliver complex, cross-functional projectsfrom the posting

  • Communication with Data Scientistsrequired

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

  • ML frameworkspreferred

    Experience with ML frameworks and serving toolsfrom the posting

  • Feature storespreferred

    Familiarity with feature stores, model registries, or MLOps toolingfrom the posting

  • Model registriespreferred

    Familiarity with feature stores, model registries, or MLOps toolingfrom the posting

  • MLOps toolingpreferred

    Familiarity with feature stores, model registries, or MLOps toolingfrom the posting

  • E-commerce or subscription domain experiencepreferred

    Background in e-commerce, subscription, or personalization domainsfrom the posting

Read the full posting as the employer wrote it

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. 

#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

The posting text is reproduced as the employer wrote it; the index adds nothing to it.