Senior ML Product Engineer — Menu Personalization

HelloFresh; Warszawa; On-site; PLN 300,000 - 420,000; Full time

Benefits offered by this job

Global collaboration

Impactful tech

Leadership culture

End-to-end delivery

Warsaw workspace

Job summary

HelloFresh is seeking a Senior Machine Learning Product Engineer in Warsaw to own and operate ML-driven menu personalization. You will work with Data Scientists, Backend Engineers, and Product to move ideas from experiments to production, shaping how customers discover and choose weekly meals.

You will partner across teams to design, build, and operate ML systems, feature pipelines, and services with a bias toward shipping quality, observable systems, and measurable impact on user experience.

Qualifications

• 5 years (ideally) of experience building and operating production ML systems.
• Fluency across the data and ML stack (Python, Spark) and backend/platform stack.
• Deep data/ML engineering expertise with production data products.
• Experience with recommender systems or large-scale personalization is a plus.

Responsibilities

• Build and operate data products and ML systems behind menu personalization across feature pipelines, training workflows, model serving, tooling, and infra.
• Transition research into production in collaboration with Data Scientists and Engineers.
• Own significant parts of the recommender stack from design to deployment.
• Instrument and improve production systems based on real-world performance.
• Contribute to the personalization roadmap with data-backed decisions.
• Provide code/design reviews and mentorship to raise engineering standards.
• Be capable across domains when problems demand it.

Skills

AI tooling

ML systems

Python

Spark

Kafka

Kubernetes

production ML

ownership

product sense

Tools

Kafka

Kubernetes

Job description

HelloFresh is seeking a Senior Machine Learning Product Engineer in Warsaw to own and operate ML-driven menu personalization. You will work with Data Scientists, Backend Engineers, and Product to move ideas from experiments to production, shaping how customers discover and choose weekly meals.

You will partner across teams to design, build, and operate ML systems, feature pipelines, and services with a bias toward shipping quality, observable systems, and measurable impact on user experience.