Senior Machine Learning Engineer, Growth

Skillhub Solutions Inc.; Toronto; Hybrid; CAD 170,000 - 200,000; Full time

Benefits offered by this job

Meal-kit discounts

Health and dental coverage from day 1

Health spending account

RRSP matching

Vacation and paid time off

Parental leave top-up

Learning and development support

Job summary

HelloFresh in Toronto is hiring a Senior Machine Learning Engineer for its Growth Tech Alliance. You will productionize ML infrastructure to support marketing optimization, building integration layers for visual AI pipelines and orchestrating multimodal embeddings.

Requirements include leading production ML systems, strong cloud and ML framework expertise, and data architecture for multimedia assets. Hybrid work with two days in-office weekly offered with competitive CAD compensation.

Qualifications

• Experience leading production ML systems from architecture through deployment and monitoring.
• Cloud experience with AWS, GCP, or Azure and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Proficiency in Python and PySpark for data pipelines and modeling.
• Data architecture experience for structured and unstructured data, incl. multimedia assets.
• Bachelor's or master's in CS or related engineering with production ML delivery.

Responsibilities

• Build integration layers for ML pipelines and multimodal embeddings.
• Move PoC models into production microservices and design orchestration frameworks.
• Develop high-throughput data pipelines processing first-party data for marketing platforms (Meta, Google).
• Collaborate with data scientists/engineers to improve forecasting efficiency.
• Establish CI/CD, feature stores, drift detection; monitor production systems.

Skills

Production ML systems

Cloud platforms (AWS/GCP/Azure)

ML frameworks (PyTorch, TensorFlow, HF

Python

PySpark

AI tools (Claude Code, Cursor, Copilot

Education

BSc/MSc in CS or related engineering

Tools

Claude Code

Cursor

Copilot

Job description

Senior Machine Learning Engineer, Growth

HelloFresh

Toronto, ON Full-time CA$170,000 - CA$200,000 / year

Employee Discounts

Senior Machine Learning Engineer, Growth

HelloFresh is hiring a Senior Machine Learning Engineer for its Growth Tech Alliance in Toronto. The role focuses on productionizing machine learning infrastructure for marketing optimization systems.

Responsibilities

• Build integration layers for visual AI pipelines and multimodal embeddings used by predictive models.
• Move proof-of-concept models into production microservices and design LLM-based orchestration frameworks.
• Develop high-throughput, low-latency data pipelines that process first-party data and send pipeline signals to platforms such as Meta and Google.
• Work with data scientists and engineers to improve value forecasting efficiency.
• Establish CI/CD processes, feature stores, and drift detection; monitor and improve systems in production.

Qualifications

• Experience leading production machine learning systems from architecture through deployment and monitoring.
• Experience with cloud platforms such as AWS, GCP, or Azure; ML frameworks such as PyTorch, TensorFlow, or Hugging Face; and Python and PySpark.
• Experience designing data architectures for structured and unstructured data, including multimedia assets.
• A bachelor's or master's degree in computer science or a related engineering field, with experience bringing ML systems from prototype to high-traffic production.
• Hands-on experience using AI development tools such as Claude Code, Cursor, or Copilot.

Work arrangement and compensation

Flexible hybrid work in Toronto, with a minimum of two office days per week. The posted pay range is CAD $170,000–$200,000 per year.

Benefits include meal-kit discounts, health and dental coverage from day one, a health spending account, RRSP matching, vacation and paid time off, parental leave top-up, and learning and development support.

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