Senior ML Product Engineer - AI-Driven Customer Engagement

HelloFresh; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Workspace in Warsaw

Modern facilities

Refreshments

Job summary

HelloFresh in Warsaw is seeking a Senior Machine Learning Product Engineer to shape intelligent messaging across global markets within HelloTech. You will own ML infrastructure, data products, and AI-assisted content systems to optimize email, SMS and push communications.

You will collaborate with Data Scientists to productionize models, build robust pipelines, and ensure low-latency, observable services at scale while maintaining a strong product focus and ownership mindset.

Qualifications

• Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation.
• Deep data/ML engineering expertise, experience operating models or data products in production, and the statistical literacy to design sound experiments and interpret their results.
• (Ideally) 5+ years of experience building and operating production ML systems.
• Fluency across the data and ML stack (Python, Spark, Databricks) and working knowledge of the backend and platform stack (Go, Kafka, Kubernetes), with hands-on experience across pipelines, model serving, and observability at scale.
• Statistical literacy to design honest experiments and the judgment to evaluate model metrics accurately.
• Operational judgment to diagnose system misbehavior under real load, identify root causes, and deploy robust fixes.
• You take full ownership. You have a bias to ship. You finish the last twenty percent.
• You have product sense and are opinionated about what should be built and why, and you can back that opinion with data and user evidence.

Responsibilities

• Own & elevate ML infrastructure: Build, maintain, and refine the core repositories, developer tooling, and engineering workflows that enable the team to organize, scale, and deploy production ML systems smoothly.
• Build and operate data products and machine-learning systems, taking them from experimentation through production and owning their real-world performance.
• Architect the Send Decisioning data layer: Evaluate, optimize, and potentially redesign our communication platform integrations - building robust pipelines and integrating our feature store to enhance data quality and feature availability for decisioning models.
• Engineer AI-assisted content & asset systems: Develop scalable integrations and workflows to streamline email copy generation (subject lines, copy context) and build context-driven asset retrieval systems for marketing teams.
• Build production-grade pipelines & serving layers: Translate research and experimentation into low-latency, highly reliable production systems, ensuring continuous observability, data reliability, and error handling.
• Bridge research & production: Partner closely with Data Scientists to transition experimental models into resilient, low-latency production services with high observability and robust fallback mechanisms.
• Set the ML engineering standard: Build, standardize, and maintain core repositories, CI/CD templates, and ML platform practices (Databricks, MLflow) to streamline how the team develops and deploys code. Take full accountability for production reliability—monitoring input data quality, drift, and latency across critical communication and personalization funnels.
• Work beyond your specialization when the problem demands it.
• Operate what you build. You instrument, monitor, and improve your systems in production. Shipping is the beginning of the learning cycle, not the end.

Skills

AI tooling

Data/ML engineering

Production ML systems

Python / Spark

Go / Kafka / Kubernetes

Observability

Experiment design

Bias to ship

Product sense

Tools

Databricks

MLflow

CI/CD

Kafka

Go

Python

Spark

Job description

HelloFresh in Warsaw is seeking a Senior Machine Learning Product Engineer to shape intelligent messaging across global markets within HelloTech. You will own ML infrastructure, data products, and AI-assisted content systems to optimize email, SMS and push communications.

You will collaborate with Data Scientists to productionize models, build robust pipelines, and ensure low-latency, observable services at scale while maintaining a strong product focus and ownership mindset.