Machine Learning Engineer - Multiple Positions

Survey Monkey

Remote · Ottawa · Full-time · Remote · Posted Sep 28, 2026

At a glance

Employment
Full-time
Workplace
Remote
Location
Remote · Ottawa

About the role

  • SurveyMonkey is seeking Machine Learning Engineers to join either the Machine Learning Platform team or the Product Data Science team.
  • The role involves building enterprise-scale NLP and ML systems, ranging from statistical methods to LLMs, to power product features and infrastructure.
  • Engineers will work at the intersection of Data Science, DevOps, and Product to own end-to-end ML solutions.

Responsibilities

  • Build and own end-to-end ML/AI solutions within the product through deployment, refinement, and iterative enhancements.
  • Develop end-to-end monitoring and telemetry systems to detect failure modes, predictive accuracy deterioration, and usage patterns.
  • Architect scalable ML platforms and production data pipelines.
  • Collaborate cross-functionally to integrate new data sources.
  • Create novel and traditional ML/AI implementations for in-product experiences.
  • Train, fine-tune, and deploy models ranging from statistical methods to LLMs.
  • Drive continuous improvement through research and adoption strategies for external solutions.
  • Identify knowledge gaps and ensure hiring and training initiatives address capability needs.

Requirements

  • Extensive professional experience in Machine Learning and Data Science building and maintaining models in production.
  • Strong expertise in Natural Language Processing, statistical modelling, and modern ML methods.
  • Experience handling data at scale with familiarity in Human-In-The-Loop labelling and exploratory data analysis.
  • Proven expertise in creating evaluations for non-deterministic systems, including LLM-as-Judge techniques.
  • Experience developing production monitoring and feedback loops using active and passive signals.
  • SaaS development and deployment experience with CI/CD practices in AWS environments.
  • Demonstrated experience building LLM-powered product integrations, including Agents, RAG, and prompt engineering.
  • Proven leadership and mentorship capabilities.

Benefits

  • CHOICE Fund

Workplace

  • Hybrid role requiring attendance at a SurveyMonkey office for up to 1 day per week.
  • Locations include Italy (Remote) and Ottawa.

Skills

  • Machine Learning
  • Data Science
  • Natural Language Processing
  • LLMs
  • Statistical Modelling
  • AWS
  • Kafka
  • EKS
  • SageMaker
  • Athena
  • CI/CD
  • RAG
Show all 13 skills
  • Prompt Engineering

Survey Monkey

Machine Learning Engineer - Multiple Positions

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