Who we are and what we do
SurveyMonkey (Nasdaq: SVMK), is a leader in agile software solutions for customer experience, market research, and survey feedback. Our platform empowers more than 20 million active users to analyze and act on feedback from employees, customers, website and app users, and market research respondents. SurveyMonkey's products, enterprise solutions, and integrations enable more than 345,000 organizations to deliver better customer experiences, increase employee retention , and unlock growth and innovation. Ultimately, SurveyMonkey's vision is to raise the bar for human experiences by amplifying individual voices.
The Machine Learning Engineering (MLE) team’s charter is to build out a machine learning platform that accelerates the efficient adoption of machine learning across all SurveyMonkey portfolio products. Our goal is to build applications and tools that enable the scalability of ML along all points of the lifecycle of an AI project, from feature discovery to model training, from model deployment to post-production monitoring and evaluation.
A SurveyMonkey ML Engineer focuses on 3 specific areas of our ML platform:
What we're looking for
We need your help as we continue to evolve our next generation machine learning platform here at SurveyMonkey. We help our customers make great decisions based on the tools we create on top of the millions of survey responses we receive daily. To do that well, we use applied machine learning techniques that include natural language processing, classification, spam detection, personalization / ranking, etc. We do this at significant scale and generally in real-time.
Successful candidates will have extensive application and data engineering experience. The ideal candidate will also have some experience with building production ML platforms in the cloud. Specifically, we need someone that is ready to get their hands dirty with building out a flexible machine learning platform that supports scalable model training in-memory or through distributed computational processing (single vs. multi-node), model deployment, API management, and constructing elegant feedback loops for self-sustaining machine learning systems. Candidates will need to be well-versed in large-scale data storage and processing and have the judgement to know when to use out-of-the-box solutions versus building custom ones. Being fun to work with is definitely a plus!.
Nice to have
What we offer our employees
SurveyMonkey is a place where the curious come to grow. By embedding inclusion into our processes, policies, and culture for our 1,000+ employees across North America, Europe, and APAC, we’re building a workplace where people of every background can thrive. We’ve won multiple awards and received recognition for our forward-looking policies, including extended parental and bereavement leave, vendor benefits standards, and Take 4 sabbaticals.
SurveyMonkey was recognized by Great Place to Work® and FORTUNE as a top workplace in 2018 and 2019, and the company has also won numerous awards as a leader in global survey software, including being named among CNBC’s Disruptor 50 and the Forbes Cloud 100.
Our commitment to an inclusive workplace
SurveyMonkey is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available for applicants with disabilities.