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HelloFresh

Staff Backend Engineer, Customer Value Optimization

HelloFresh is hiring a Staff Backend Engineer, Customer Value Optimization in Toronto, Canada. It pays CAD 182k-CAD 215k a year and Level rates it ; you can apply on HelloFresh.

Level's read on this job

  • Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Python, MLOps and backend engineering among its tools and skills.
  • Level classes it as a senior role.
  • HelloFresh has 393 other open roles on Level.

AI in this role

Design and build scalable backend infrastructure for live ML model serving at HelloFresh as a Staff Backend Engineer.

python
ml-opsbackend-engineeringmlopsmodel-servingdistributed-systemsapi-design

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

How we rate this

Staff Backend Engineer, Customer Value Optimization at HelloFresh rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsBackend EngineeringMLOpsModel ServingDistributed SystemsAPI DesignPython

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Tell me about a project where backend engineering was part of your work. What did you do?
  3. Tell me about a project where mlops was part of your work. What did you do?
  4. Tell me about a project where model serving was part of your work. What did you do?
  5. Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: ML Ops, Backend Engineering, MLOps, Model Serving, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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