Senior Machine Learning Engineer, Pricing & Growth

DoorDash Canada; Toronto; On-site; CAD 120,000 - 232,000; Full time

Job summary

A leading logistics company based in Toronto is seeking an experienced Machine Learning Engineer to develop advanced ML models that drive pricing and consumer solutions. You'll collaborate with engineering and product teams to enhance pricing strategies and marketplace growth. The role offers a competitive salary ranging from $120,000 to $231,500 CAD, with a comprehensive benefits package including health insurance and equity grants.

Benefits

Paid time off

Paid parental leave

Wellness benefits

Medical, dental, and vision benefits

Qualifications

• 6+ years of industry experience developing and leading advanced machine learning initiatives.
• Experience with statistics, causal inference, multi-objective optimization, or deep learning preferred.

Responsibilities

• Develop ML-driven systems ensuring DoorDash pricing remains affordable and fair.
• Create AI solutions that optimize deals and promotions for relevancy and efficiency.
• Partner with engineering and product leaders to shape product roadmaps.

Skills

Production-level machine learning expertise

Exceptional written and verbal communication skills

Technical expertise in Python

Technical expertise in Spark

Technical expertise in PyTorch

Education

M.S. or Ph.D. in Statistics, Computer Science, Mathematics, Operations Research, Physics, Economics, or another quantitative field

Job description

A leading logistics company based in Toronto is seeking an experienced Machine Learning Engineer to develop advanced ML models that drive pricing and consumer solutions. You'll collaborate with engineering and product teams to enhance pricing strategies and marketplace growth. The role offers a competitive salary ranging from $120,000 to $231,500 CAD, with a comprehensive benefits package including health insurance and equity grants.