Staff Machine Learning Engineer

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

The role will report to the senior manager of the data science team. This team will partner with Machine Learning Platform, Legal, Security, Application Engineering, Product Management, Product Design, and Survey Research teams to define and execute the product roadmap. The role has huge opportunities to help ship the next generation of pleasant experience for our customers to instantly create high-quality surveys, and derive professional, actionable insights from their data.

What you’ll be working on

Mentor and guide junior data scientists on the team. Serve as the technical leader for multiple machine learning projects. Your expertise will be instrumental in helping them with project planning, making technical decisions, and conducting code and document reviews, fostering their growth and ensuring the team's overall success.

Promote excellence in execution by streamlining agile processes, getting clarity in project definitions, making smart trade-offs between tech debt accumulation and pay off, and adjusting plans to meet changing needs.

Thrives under pressure and is open to new ideas

Advocate for data-driven practices within the organization. Collaborate seamlessly across functional teams from different timezones to drive product improvement.

We’d love to hear from people with

12+ years of hands‑on data science experience

Good understanding of applied machine learning techniques, including natural language processing, classification, personalization, ranking, etc.

Great understanding of the lifecycle of ML‑enabled products

Experience developing and deploying the machine learning models using tools such as Athena, Sagemaker, Snowflake, and Airflow DAG

Strong ability to coach the team, helping team members improve their skill sets and grow their careers

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 every other week.

At SurveyMonkey, curiosity powers everything we do. We’re a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers. Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like theCHOICE Fund to help employees thrive in work and life.

We live our company values —like championing inclusion and making it happen—by embedding them into how we hire, collaborate, and grow. They help shape everything from our culture to our business decisions. Come join us and see where your curiosity can take you.

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.

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