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Machine Learning Engineer

2 months ago

Ottawa, Ontario, Canada Tree Trust Full time
Unlock the Power of Machine Learning with SurveyMonkey

At SurveyMonkey, we're harnessing the potential of machine learning to revolutionize the way we collect and analyze data. As a Machine Learning Engineer, you'll play a key role in building and enhancing our platform, driving innovation and growth across our product portfolio.

Key Responsibilities:
  • Design and implement secure, scalable, and high-performance pipelines for managing the end-to-end lifecycle of ML models.
  • Integrate, test, and monitor ML model services across our product portfolio.
  • Use applied machine learning techniques, including generative AI, natural language processing, classification, spam detection, personalization/ranking, and more.
  • Build and maintain ML systems using Python, including Pandas, NumPy, PySpark, and other relevant libraries.
  • Lead requirements collection, negotiate architectural decisions, and ensure platform scalability.
Requirements:
  • Deep understanding of machine learning algorithms, including large language models, and the ability to apply them effectively in ML projects.
  • Design machine learning platforms for reuse and scalability, incorporating telemetry for complex failure mode analysis.
  • Mastery of machine learning concepts, such as supervised and unsupervised learning, and the ability to drive innovative solutions.
  • Comfortable with Unix/Linux systems, strong communication, and documentation skills.
  • Experience with operating computational clusters for training ML models.
About SurveyMonkey

We're a global leader in online surveys and forms, empowering people with the insights they need to make decisions with speed and confidence. Our fast, intuitive feedback management platform connects millions of users worldwide with real-time AI-powered insights that drive meaningful decisions. We're committed to creating an inclusive workplace where people of every background can excel, no matter their time zone.

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

Accommodations are available for applicants with disabilities.