Senior Machine Learning Engineer, Growth
Confirmed live in the last 24 hours
HelloFresh
Job Description
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.
S'more about the team
We are hiring a Senior Machine Learning Engineer to take our AI tooling to the next level by architecting and deploying the robust infrastructure behind our intelligent marketing optimization systems. You will provide critical engineering execution for our AI initiatives. You will develop scalable microservices for predictive scoring, orchestrate complex LLM-based agents for creative intelligence. As the ML engineering expert for the team, you will drive the maturation of algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented scale.
Lettuce share what this role will be responsible for
As a core member of the engineering team, you will focus on productionizing ML infrastructure across several domains:
- 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
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.
- 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.
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!
- 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
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