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.
What we’re looking for
You are a senior machine learning engineer with rich experience building text analysis models and insight projects. You 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. You are well-versed and passionate about building machine learning solutions. You are excellent at influencing the engineering community by encouraging win-win relationships.
What you’ll be working on
- Propose novel machine learning algorithms and productionize them to help customers from survey creation to insight extraction, such as detecting bias questions, flagging poor quality responses, and extracting common themes from huge amounts of responses.
- Work closely with Machine Learning engineers 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.
- Handle multiple projects with strict deadlines.
- Give technical leadership and mentorship to junior machine learning engineers.
We’d love to hear from people with
- 4-6+ years of hands-on data science experience
- Experience in 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 machine learning models using tools such as Athena, Sagemaker, Snowflake, and Airflow DAG.
- Excellent problem-solving, critical thinking, creativity, organizational, design, and interpersonal skills.
- Excellent customer experience intuition; demonstrated success in inventing innovative and user-friendly products.
- A track record of handling multiple projects with strict deadlines.
Preferred Qualifications
- Master's or PhD in Computer Science or a data-driven physical science, or equivalent.
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 into everything we do to create forward-looking benefits policies, employee programs, and an award-winning culture, including best workplace for parents, our annual holiday refresh, our annual week of service, and our C.H.O.I.C.E Fund. In addition, we’ve reimagined the way we work to allow employees to choose what works best for them -- working in-person, fully remote, or a hybrid model that combines the two through our Choice Model.
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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