At a Glance
- Tasks: Architect and deploy robust AI infrastructure for intelligent marketing systems.
- Company: Join HelloFresh, a leader in innovative food solutions.
- Benefits: Enjoy amazing discounts, health benefits, generous PTO, and career growth opportunities.
- Other info: Flexible hybrid work model with a fun, inclusive culture.
- Why this job: Shape the future of AI-driven marketing at a global scale.
- Qualifications: Experience in ML systems, programming skills in Python, and expertise in cloud platforms.
The predicted salary is between 170000 - 190000 $ per year.
We are seeking a Senior Machine Learning Engineer to join the Growth Tech Alliance. In this role, you will architect and deploy the robust infrastructure behind our intelligent marketing systems. You will be responsible for maturing algorithmic prototypes into high-performance production systems, ensuring our AI-driven marketing optimization is served reliably and autonomously at a global scale.
Responsibilities:
- Build robust integration layers for visual AI pipelines that process multi-modal embeddings that power various predictive models.
- Transition proof-of-concept models into resilient production microservices and architect LLM-based orchestration frameworks.
- Engineer high-throughput, low-latency data pipelines to process 1P data and pipeline signals into external platforms like Meta and Google.
- Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.
- Establish CI/CD processes, feature stores, and drift detection to ensure continuous delivery and model reliability.
- All other duties, as assigned.
Qualifications:
- Experience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.
- Expertise in leveraging hyperscaler ecosystems (AWS, GCP, Azure) to build cost-effective, resilient, and automated ML infrastructure.
- Deep technical proficiency with modern ML frameworks (PyTorch, TensorFlow, HuggingFace).
- Expert programming skills in Python and PySpark.
- A BS/MS in Computer Science or a related engineering field, coupled with a proven track record of bringing ML systems from prototype to high-traffic production.
- Proven experience engineering robust data architectures that reliably process and combine diverse data formats, ranging from structured offline conversion data to unstructured multimedia assets.
- A demonstrated bias for action and extreme ownership, eager to adopt Gen AI tools to creatively solve architectural challenges and enhance engineering velocity.
Benefits:
- 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!
- Vacation & PTO - 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 - Support for your career progression and investment in your continued learning through experiences and initiatives owned by our dedicated L&D team.
- Work Hard & Have Fun - Opportunities to experience team socials and engaging company days.
- Diversity & Inclusion Initiatives - Commitment to diversity, equity & inclusion efforts.
- Flexible Hybrid Approach - Offering remote work flexibility, along with the opportunity to interact and collaborate in the office.
This is a posting for an existing vacancy. We are actively seeking to fill this position.
Toronto, ON Pay Range $170,000—$190,000 CAD
Senior Machine Learning Engineer in Toronto employer: HelloFresh
HelloFresh Canada is an exceptional employer that prioritizes employee well-being and growth, offering generous benefits such as health and dental coverage from day one, competitive RRSP matching, and a flexible hybrid work environment. With a strong focus on diversity and inclusion, along with opportunities for professional development, employees are encouraged to thrive both personally and professionally in a fun and collaborative atmosphere. Located in Toronto, this role not only provides a chance to make a significant impact on the marketing team but also allows for a balanced work-life experience in a vibrant city.
