Senior Machine Learning Engineer, Benefits Personalization

S'more about the team

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.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Lettuce share what this role will be responsible for

• 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 our in-house Data Pipeline tools
• Leverage Claude Code and other AI tools as productivity multipliers
• All other duties, as assigned

Sound a-peeling? Here's what we're looking for

• 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
• Familiarity with e-commerce and subscription-based businesses is a plus
• Interacting with back-end developers, front-end developers, product analysts, product managers and other teams around the world is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their engineering skills to a wide range of platforms and environments, while also acting as an ambassador to coach team members and stakeholders.

Let’s cut to the cheese, this is why you'll love it here

• 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!
• RRSP Matching - Competitive RRSP matching program offered
• 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 2 days in office per week, with most teams in office between 2-3 days a 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

$170,000—$200,000 CAD