Staff Machine Learning Engineer
About The Position
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.
Requirements
- 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
Responsibilities
- Mentor and guide junior data scientists on the team.
- Serve as the technical leader for multiple machine learning projects.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
