Machine Learning Engineer - Multiple Positions

SurveyMonkey is hiring Machine Learning Engineers across multiple levels, from early career through Staff Engineer, to work at the intersection of Data Science, DevOps, and Product. The role spans two connected tracks: the Machine Learning Platform team, which builds secure, scalable pipelines and infrastructure to deploy and monitor ML models in production, and the Product Data Science team, which designs, builds, and fine-tunes models ranging from statistical methods to LLMs. You will help power technologies such as Generative AI, NLP, and real-time classification across SurveyMonkey's product portfolio.

Day to day, you will build and own end-to-end ML and AI solutions, create monitoring and telemetry systems to detect failure modes and accuracy deterioration, architect scalable ML platforms and production data pipelines, and deliver tailored.

Highlights

• Work across ML platform and product data science tracks on enterprise-scale NLP and ML systems.
• Build end-to-end ML and AI solutions with long-term ownership through deployment and refinement.
• Develop evaluation and monitoring systems for non-deterministic systems, including LLM-as-Judge techniques.
• Hybrid setup requiring up to one day per week in a SurveyMonkey office.