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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 New York Pay Range $190,365 — $220,150 USD
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.