Machine Learning Engineer - Multiple Positions
Role Overview
SurveyMonkey is hiring machine learning engineers across different levels, from early career through Staff Engineer.
The Machine Learning Platform team builds secure, scalable pipelines and infrastructure to deploy and monitor production models.
The Product Data Science team designs, builds, and fine-tunes models from statistical methods to large language models.
Work sits across Data Science, DevOps, and Product, supporting generative AI, NLP, and real-time classification.
Key Skills for This Role
Full Job Posting
About the positions
SurveyMonkey is hiring machine learning engineers across different levels, from early career through Staff Engineer.
The Machine Learning Platform team builds secure, scalable pipelines and infrastructure to deploy and monitor production models.
The Product Data Science team designs, builds, and fine-tunes models from statistical methods to large language models.
Work sits across Data Science, DevOps, and Product, supporting generative AI, NLP, and real-time classification.
What you’ll work on
- Build and own end-to-end ML/AI product solutions through deployment, refinement, and ongoing enhancements.
- Create monitoring and telemetry to detect failures, predictive-accuracy deterioration, and usage patterns.
- Architect scalable ML platforms and production data pipelines and integrate new data sources.
- Develop ML/AI product experiences with Product, Design, and front-end and back-end developers.
- Train, fine-tune, and deploy models ranging from statistical methods to LLMs.
- Research external solutions and propose adoption strategies; identify capability gaps and support team development.
Experience and technical background
- Extensive professional experience in machine learning and data science, building and maintaining production models.
- Strong NLP, statistical modeling, and modern ML expertise, including hands-on novel architecture development.
- Experience with data at scale, human-in-the-loop labeling, usable training data, and exploratory data analysis.
- Experience building evaluation platforms for non-deterministic systems, including LLM-as-Judge and traditional evaluation methods.
- Experience with production monitoring and feedback loops using user behavior and active or passive signals.
- SaaS development and deployment experience, CI/CD, and AWS services including Kafka, EKS, SageMaker, and Athena.
- Experience delivering LLM product integrations, agents, RAG, context enrichment, and prompt engineering.
- Technical leadership and mentorship experience is relevant to leadership-level positions.
Work arrangement
- Hybrid work arrangement.
- Employees are required to work from a SurveyMonkey office up to one day per week.
About SurveyMonkey
SurveyMonkey provides a survey and forms platform for customer experience, employee engagement, market research, payments, and registration.
The company describes its work environment as flexible and hybrid.
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