Senior Machine Learning Engineer, Benefits Personalization

About the Role

The position is part of the Growth Alliance, which has the mission to empower the HelloFresh business to convince more customers to try, recommend, or return to our products. Within Growth, the Customer Value Optimization Tribe maximizes long-term customer value by optimizing pricing, personalizing benefits, forecasting customer value (CLV), and creating compelling incentives that drive retention and revenue growth. As a Senior ML Engineer within our Benefits Personalization Squad, you will own the data infrastructure that powers personalized customer experiences at HelloFresh: helping us deliver the right benefits, incentives, and offers to the right customers at the right time.

Our Engineers assume development and operational responsibility for the HelloFresh Platform that enables serving millions of customers globally by providing the best & efficient experience for our customers and internal users.

Responsibilities

• Take ownership of the end-to-end process, including architecture, design, development, deployment, and operations of data pipelines, applying DevOps practices, pair programming, and other cutting-edge methodologies.
• Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Data Scientists, Machine Learning Engineers, Data Engineers, Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teams.
• Demonstrate an in-depth understanding of HelloFresh's core product and architecture, and act as ambassador for software/data solutions offering support and mentorship to colleagues.
• Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka, PySpark, Kubernetes, Airflow, Prefect, Tecton, Databricks, dbt, as well as in-house Data Pipeline tools.
• Leverage Claude Code and other AI tools as productivity multipliers.
• All other duties, as assigned.

Requirements

• Experience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.
• Solid data engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python and SQL.
• Hands-on experience with cloud computing and data processing technologies, including PySpark, Kubernetes, Kafka.
• Expertise in data modeling, relational databases (e.g., PostgreSQL), object stores (e.g., AWS S3), data platforms (Databricks).
• Proven expertise in making efficient and robust data pipelines, including optimizing their performance.
• Passion for leveraging AI tools to streamline collaboration and execution.
• Passion for data quality assurance, data monitoring.
• Expertise in end-to-end development processes, including unit, integration & functional testing, application tuning/profiling, and continuous integration.
• Extensive experience with agile methodologies, with a strong focus on delivery, lean thinking, and quick iterations.
• Ability to continuously develop yourself and learn from your peers.
• Ability to collaborate and mentor team members, while also sharing practical knowledge and trends.
• Strong communication skills and ability to interact with back-end developers, front-end developers, product analysts, product managers and other teams around the world.
• Strong problem-solving skills and ability to apply engineering skills to a wide range of platforms and environments, while acting as an ambassador to coach team members and stakeholders.

Plus:

• Familiarity with e-commerce and subscription-based businesses.

Benefits

• Box Discount - 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, and 25% discount on GoodLife fitness memberships.
• RRSP Matching - Competitive RRSP matching program.
• Vacation & PTO - Generous vacation and PTO to help create a good work-life balance.
• Family Benefits - Parental leave top-up program for expectant parents.
• Growth & Development - Support for career progression and continued learning through experiences and initiatives owned by the dedicated L&D team.
• Work Hard & Have Fun - Team socials and engaging company days.
• Diversity & Inclusion Initiatives - Impactful ERGs including FreshPride, Women Empowered and LIMES.
• Food Puns - Punny meeting room names.

Work Arrangement

Flexible Hybrid work with a minimum of 2 days in office per week, with most teams in office between 2–3 days a week. This people-first approach is based on choice, trust, and personalization, empowering teams to choose when and how often they work from the office and work from home, in addition to team days and company days.

Location & Compensation

Toronto, ON

Pay Range: $170,000—$200,000 CAD

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HelloFresh Canada uses AI-integrated technology to help 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.