Staff Backend Engineer, Customer Value Optimization

HelloFresh
Toronto, Canada
Hybrid

Who this role is best for

Best suited to experienced backend engineers with ML infrastructure expertise working in e-commerce or subscription domains, based in Toronto with a commitment to hybrid work arrangements.

Best fit for

  • Experienced backend engineers with a background in ML model serving and production systems
    — “Design, build, and own robust, scalable infrastructure for live serving of ML models in production”
  • Candidates who have operated ML platforms in production and understand distributed systems
    — “Proven experience building and operating ML model serving systems or ML platforms in production”
  • Individuals with strong cross-functional collaboration skills and technical leadership experience
    — “Strong track record of working across team boundaries to deliver complex, cross-functional projects”

Things to consider

  • Requires a minimum of 3 days per week in the office despite flexible hybrid arrangements
    — “minimum of 3 days in office per week”

How to stand out

  • Highlight experience in translating data science needs into scalable engineering solutions
    — “the technical bridge between Data Science and Backend Engineering teams within the CVO tribe — translating Data Science needs into scalable engineering solutions”
  • Emphasize contributions to system design and best practices for model serving and APIs
    — “Define and drive best practices for model serving, APIs, and system design across squads”
  • Showcase leadership in cross-squad technical initiatives and hands-on implementation
    — “Lead cross-squad technical initiatives, from architecture decisions to hands-on implementation”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design, build, and own robust, scalable infrastructure for live serving of ML models in production
  • define and drive best practices for model serving, APIs, and system design across squads
  • lead cross-squad technical initiatives
Typical background
7+ years of backend engineering experienceproven experience building and operating ML model serving systems or ML platforms in production

Skills & requirements

Required

Backend EngineeringPythonDistributed SystemsApisMicroservices ArchitectureML Model ServingMlops

Preferred

ML FrameworksFeature StoresModel RegistriesMlops ToolingE-commerceSubscriptionPersonalization Domains

Stack & domain

PythonCommunicationData ScienceBackend Engineering

About the role

Original posting from HelloFresh

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.

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$149,940—$159,940 CAD

Source: HelloFresh careers

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