Senior Machine Learning Engineer, Growth

HelloFresh

Toronto, Canada
Base: $170,000 - $190,000 cad; bonus/equity: not s...
On-site
End-to-end production ml system lifecycle
Aws gcp azure hyperscaler ecosystems
Pytorch tensorflow huggingface frameworks
This role focuses on maturing algorithmic prototypes into high-performance production systems for global AI-driven marketing optimization

Job Summary

  • This role focuses on maturing algorithmic prototypes into high-performance production systems for global AI-driven marketing optimization.
  • The team seeks an expert to engineer high-throughput data pipelines that process signals into external platforms like Meta and Google.
  • Employees receive generous benefits including health coverage, meal kit discounts, and a flexible hybrid work model requiring 2-3 days in office.

Matching Summary

This role focuses on maturing algorithmic prototypes into high-performance production systems for global AI-driven marketing optimization.

Salary

Base: $170,000 - $190,000 CAD; Bonus/Equity: Not specified; Benefits: Health/Dental, Meal Kit Discounts, PTO

Skills & Requirements

Must-have

  • End-to-end production ML system lifecycle
  • AWS GCP Azure hyperscaler ecosystems
  • PyTorch TensorFlow HuggingFace frameworks
  • Python PySpark programming expertise
  • Scalable microservices architecture design
  • LLM-based orchestration framework development

Nice-to-have

  • Bias for action and extreme ownership
  • Gen AI tool adoption for velocity
  • Cross-functional collaboration skills
  • Creative problem solving in architecture

Key Requirements

  • BS/MS in Computer Science or related engineering field
  • Proven track record of prototype to production deployment
  • Experience with diverse data formats and architectures

Work Rights

Not specified

Tailored Resume

Cover Letter