Staff Machine Learning Engineer

Portland, OR

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-assisted technology, it’s like having a team of expert researchers right 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

At SurveyMonkey, we harness AI and Machine Learning to delight customers at every stage of their journey. The Machine Learning Platform (MLP) team owns the complete ML operations pipeline. You will be a driving force for a team that builds and enhances a platform that accelerates machine learning adoption across SurveyMonkey's product portfolio. You will report to the Director of Machine Learning. 

What you’ll be working on

As a Staff ML Engineer, you will:

  • Design and implement secure, scalable, and high-performance pipelines managing the end-to-end lifecycle of ML models. 
  • Offer strong technical leadership skills, have served as a consultant to management and internal/external spokesperson for the ML team, and educate and influence leadership on decisions affecting ML. 
  • You'll integrate, test, and monitor ML model services across our product portfolio. The MLP team's focus includes supporting services for ML models and extending architecture to integrate with other SurveyMonkey microservices.
  • Collaborate closely with SurveyMonkey's application engineers 
  • Use applied machine learning techniques that include generative AI, natural language processing, classification, spam detection, personalization/ranking, etc. We do this at a significant scale and generally in real-time.
  • Being fun to work with is definitely a plus!

We’d love to hear from people with

  • 10+ years of MLOps experience in designing and implementing ML cloud infrastructure using AWS services.
  • Build and maintain ML systems using Python (including Pandas, NumPy, PySpark, etc.) for efficient ML operations.
  • Lead requirements collection, negotiate architectural decisions, and ensure platform scalability.
  • Deep understanding of machine learning algorithms including large language models, applying them effectively in ML projects.
  • Design machine learning platforms for reuse and scalability, incorporating telemetry for complex failure mode analysis.
  • Mastery of machine learning concepts like supervised and unsupervised learning, driving innovative solutions.
  • Comfortable with Unix/Linux systems, strong communication, and documentation skills.
  • Ability to deal well with ambiguity and deliver great results to meet changing needs.

Nice to have

  • Experience with operating computational clusters for training ML models.
  • Proven track record in deploying end-to-end solutions with creative problem-solving skills to handle a high volume of throughput.

The base pay provided for this position ranges from $214,240 / year - $321,360 / year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses and commissions may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. l

This opportunity is hybrid and requires you to work from a SurveyMonkey office 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.

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