Staff Machine Learning Engineer, AdTech
HelloFresh8 hours ago
Toronto, CanadaStaff+
Responsibilities
- Design, build, and maintain production multi-agent AI systems and LLM workflows using LangChain, LangGraph, or similar frameworks.
- Build APIs, tool-calling interfaces, and MCP integrations connecting internal marketing automation services with AI agents and third-party platforms.
- Productionize machine learning and statistical models in partnership with Data Scientists and connect them to advertising automation agents.
- Design scalable end-to-end architectures spanning models, databases, and backend services, with emphasis on reliability and correctness.
- Build evaluation pipelines, guardrails, state management, and human-in-the-loop approval workflows for production AI and ML systems.
- Author RFCs and Architecture Decision Records and provide technical direction across teams.
- Mentor Senior Engineers and Data Scientists through code reviews, system design guidance, and technical leadership.
Requirements
- Extensive hands-on experience in Machine Learning Engineering, AI Engineering, or Backend Software Engineering building and operating distributed production systems.
- Production proficiency in Python and SQL, with experience in software design, API development such as FastAPI, testing, and database optimization.
- Hands-on experience deploying production LLM and agentic applications, including orchestration, tool use, MCP, context management, and automated evaluations.
- Experience with multi-agent architectures, experimentation such as A/B testing or synthetic testing, and multimodal AI models for image or video analysis and generation.
- Experience integrating predictive ML models with LLM-based agents to drive automated decisions.
- Background in AdTech, MarTech, e-commerce growth, or high-scale consumer platforms.
- Familiarity with production machine learning or deep learning deployment and MLOps practices including model monitoring and automated pipelines.
- Experience with Databricks, Unity Catalog, MLflow, Docker, and AWS.
- Staff- or Principal-level experience with systems thinking, technical specifications, ambiguity management, and mentoring engineers.
Benefits
- Health and dental benefits from day one, a Health Spending Account, Headspace access, and GoodLife fitness discounts.
- RRSP matching program.
- Generous vacation and paid time off.
- Parental leave top-up program.
- Career development and continued learning support through the L&D team.
- HelloFresh, Chefs Plate, and Factor meal-kit discounts.
- Team socials, company days, and diversity, equity, and inclusion initiatives.
- Flexible hybrid work with a minimum of two days in the office per week, with most teams working onsite two to three days weekly.
Categories
About HelloFresh
HelloFresh builds subscription meal kits for households, delivering pre-portioned ingredients and recipes to cook at home. The company sells direct-to-consumer across North America, Europe, and Australia under multiple brands, with revenue from recurring subscriptions and add-ons like market items. Founded in 2011 and headquartered in Berlin, HelloFresh is a public company listed in Germany (ETR) and operates its own fulfillment and last-mile logistics.