REMOTE Senior Machine Learning Engineer

CyberCoders

$180K *
US-AnywhereRemote in Toronto, ON
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in machine learning and data science.
  • Strong proficiency in Python; experience with scikit-learn, TensorFlow, and PyTorch.
  • Experience with big data technologies like SparkML.
  • Familiarity with time series forecasting techniques, including Prophet and ARIMA.
  • Knowledge of advanced analytics methods such as mSSA relevant to ad tech.
  • Excellent problem-solving skills and ability to thrive in fast-paced environments.

Responsibilities

  • Design and implement machine learning algorithms and models to enhance business outcomes.
  • Collaborate with data scientists and engineers to incorporate machine learning solutions into production systems.
  • Analyze large datasets to extract actionable insights and optimize algorithms.
  • Conduct experiments to validate and compare various models and techniques.
  • Stay updated with the latest research and advancements in machine learning and AI.
  • Mentor junior team members and share knowledge within the team.

Benefits

  • Remote work opportunity within Ontario province.
  • Access to innovative ad tech solutions and tools.
  • Opportunity to work with a leading revenue amplification firm.
  • Dynamic team focused on cutting-edge machine learning applications.
Full Job Description
***THIS POSITION IS REMOTE IN THE ONTARIO PROVINCE***

We are a worldwide revenue amplification firm that gives content owners the skills and tools they need to increase their earnings and expand their audiences. We provide a complete solution that controls every facet of the digital advertising ecosystem with our innovative revenue platform. This platform is powered by our in-house machine learning technology, which optimizes outcomes for digital publishers.

We oversee more than 700 websites and applications, serve 12 billion video and display advertising, and stream one billion minutes of video per month as a Google Certified Publishing Partner since 2020. We are able to provide all digital advertising services through a single, cohesive channel thanks to our exclusive relationships.

Position Overview
We are seeking a talented Senior Machine Learning Engineer to join our innovative team. The ideal candidate will be responsible for developing and implementing machine learning models to solve complex business problems, contributing to our advanced ad tech solutions.

Compensation: Up to $180,000 CAD base DOE

Key Responsibilities
  • Design and implement machine learning algorithms and models to improve business outcomes.
  • Collaborate with data scientists and engineers to integrate machine learning solutions into production systems.
  • Analyze large datasets to extract insights and optimize algorithms.
  • Conduct experiments to validate and compare different models and techniques.
  • Stay updated with the latest research and advancements in machine learning and AI.
  • Mentor junior team members and contribute to knowledge sharing within the team.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in machine learning and data science.
  • Strong proficiency in Python and experience with libraries such as scikit-learn, TensorFlow, and PyTorch.
  • Experience with big data technologies like SparkML.
  • Familiarity with time series forecasting techniques including Prophet and ARIMA.
  • Knowledge of advanced analytics methods such as mSSA and their application in ad tech.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.

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