SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips.

Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com.

What we’re looking for

This role will report to the Sr Manager, ML.. The team develops ML algorithms to help our customers make decisions on top of the millions of survey responses we receive daily. To do that well, we use applied machine learning techniques including natural language processing, classification, spam detection, personalization and ranking. This role plays a critical part in advancing SurveyMonkey’s ability to extract meaningful insights from survey responses, which is essential for delivering differentiated value to customers. 

What you’ll be working on

• Propose novel machine learning algorithms and productionize them to help customers from survey creation to insight extraction. These projects include detecting bias questions, flagging poor quality responses, and extracting common themes from huge amounts of responses. 
• Work closely with the ML team to ship models in production seamlessly
• Implement and utilize intelligent tools and technologies
• Play an important role in deriving key insights from our enormous data, suggest and implement new product features, and make improvements in existing models for better user experience. 
• Give technical leadership and mentorship of junior machine learning engineers. 

We’d love to hear from people with

• 8+ years of hands-on data science experience
• Industrial data-mining including applied techniques in data mining and machine learning, especially in the domain of natural language processing and fraud detection
• Expertise in machine learning model development, including data preprocessing, feature engineering, classification and prediction model development, and model deployment.
• Strong programming skills, expert knowledge of algorithms, and data structures (Python preferred).
• Experience developing and deploying the machine learning models using tools such as Athena, Sagemaker, Snowflake, and Airflow DAG.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from a SurveyMonkey office up to 1 day per week.

#LI - Hybrid

Why SurveyMonkey? We’re glad you asked 

SurveyMonkey is a place where the curious come to grow.  We’re building an inclusive workplace where people of every background can excel no matter their time zone. At SurveyMonkey, we weave employee feedback and our core values into everything we do to create forward-looking benefits policies, employee programs, and an award-winning culture, including our annual holiday refresh, our annual week of service, learning and development opportunities like Curiosity Week, and our C.H.O.I.C.E Fund. 

Our commitment to an inclusive workplace

SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.