Staff Machine Learning Engineer

SurveyMonkey is a global leader in online surveys and forms that empowers 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 provide answers to more than 20 million questions every day so that people and organizations can attract new audiences, delight customers, create advocates, and extend their competitive advantage in the marketplace. Our vision is to raise the bar for human experiences by amplifying individual voices. Learn more at surveymonkey.com.

At SurveyMonkey, we harness AI and Machine Learning to delight customers at every stage of their journey. The Machine Learning Platform (MLP) team owns the complete ML operations pipeline. You will be a driving force for a team that builds and enhances a platform that accelerates machine learning adoption across SurveyMonkey's product portfolio. You will report to the Director of Machine Learning. 


As a Staff ML Engineer, you will:



* Offer strong technical leadership skills, have served as a consultant to management and internal/external spokesperson for the ML team, and educate and influence leadership on decisions affecting ML. 

* Collaborate closely with SurveyMonkey's application engineers 

* Being fun to work with is definitely a plus!






Build and maintain ML systems using Python (including Pandas, NumPy, PySpark, etc.) for efficient ML operations.

* Lead requirements collection, negotiate architectural decisions, and ensure platform scalability.

* Design machine learning platforms for reuse and scalability, incorporating telemetry for complex failure mode analysis.

* Comfortable with Unix/Linux systems, strong communication, and documentation skills.

* Nice to Have



* Proven track record in deploying end-to-end solutions with creative problem-solving skills to handle a high volume of throughput. 






Why SurveyMonkey? We’re glad you asked 


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