Hybrid ML Engineer, Recommendations & Personalization

Lyft; Toronto; On-site; CAD 149,000 - 187,000; Full time

Job summary

A leading ride-sharing platform in Toronto seeks a Machine Learning Engineer to develop and launch algorithms for core services. Ideal candidates have over 5 years of ML experience, are proficient in Python or Golang, and are passionate about using data to solve complex business problems. The position is hybrid with a focus on collaboration, offering competitive benefits including extensive health coverage and paid time off.

Benefits

Extended health and dental coverage

Mental health benefits

Child care and pet benefits

Flexible paid time off policy

18 weeks of paid parental leave

Qualifications

• 5+ years of Machine Learning experience required.
• Passion for building impactful models leveraging multiple fields.
• Strong understanding of supervised learning and reinforcement learning.

Responsibilities

• Partner with cross-functional teams to apply machine learning.
• Develop statistical or machine learning models.
• Write production quality code for ML models.

Skills

Machine Learning

Data Analysis

Python

Golang

Excellent Communication Skills

Education

B.S., M.S., or Ph.D. in Computer Science or related fields

Tools

Statistical Models

Job description

A leading ride-sharing platform in Toronto seeks a Machine Learning Engineer to develop and launch algorithms for core services. Ideal candidates have over 5 years of ML experience, are proficient in Python or Golang, and are passionate about using data to solve complex business problems. The position is hybrid with a focus on collaboration, offering competitive benefits including extensive health coverage and paid time off.