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Senior Applied ML Scientist — Remote-First, Scale Production Models

StackAdapt

Canada

Remote

CAD 125,000 - 150,000

Full time

14 days ago

Job summary

A leading technology company in Canada seeks a Senior/Staff Applied Machine Learning Scientist to join their engineering team. The role involves leading the optimization of machine learning algorithms, developing production-grade models, and driving innovative data testing. Candidates should have a master's degree or PhD and at least 3 years of relevant experience. Competitive salary and comprehensive health benefits offered, alongside a supportive and inclusive work culture.

Benefits

Highly competitive salary
Retirement/401K/Pension Savings
Competitive Paid time off packages
Access to mental health care platform
Health benefits from day one
Work from home reimbursements
Global WeWork membership
Robust training and onboarding program
Support of personal development initiatives
Access to programmatic courses and certifications
Awesome parental leave program
Welcoming and supportive culture

Qualifications

  • 3+ years of industry experience required.
  • Ability to break down ambiguously defined tasks into actionable steps.
  • Comprehensive understanding of statistics, optimization, and machine learning.

Responsibilities

  • Lead the creation and optimization of advanced machine learning algorithms.
  • Own the end-to-end development of production-grade ML models.
  • Drive the prototyping and testing of innovative algorithms and data pipelines.

Skills

Statistics
Machine learning
Data structures
Algorithms
Optimization

Education

Masters degree or PhD in Computer Science, Statistics or related field
Job description
A leading technology company in Canada seeks a Senior/Staff Applied Machine Learning Scientist to join their engineering team. The role involves leading the optimization of machine learning algorithms, developing production-grade models, and driving innovative data testing. Candidates should have a master's degree or PhD and at least 3 years of relevant experience. Competitive salary and comprehensive health benefits offered, alongside a supportive and inclusive work culture.
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