Machine Learning Engineer - Multiple Positions
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