Job Description

Posted on:

October 27, 2024

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

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. As a Staff ML Engineer, 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 that manage the end-to-end lifecycle of ML models.
  • Provide strong technical leadership, serving as a consultant to management and influencing decisions affecting ML.
  • Integrate, test, and monitor ML model services across our product portfolio, focusing on supporting services for ML models and extending architecture to integrate with other SurveyMonkey microservices.
  • Collaborate closely with SurveyMonkey's application engineers and utilize applied machine learning techniques, including generative AI, natural language processing, classification, spam detection, and personalization/ranking.
  • Bring a positive attitude and be fun to work with!

Qualifications:

  • 10+ years of MLOps experience in designing and implementing ML cloud infrastructure using AWS services.
  • Proficiency in building and maintaining ML systems using Python (including Pandas, NumPy, PySpark, etc.) for efficient ML operations.
  • Experience in leading requirements collection, negotiating architectural decisions, and ensuring platform scalability.
  • Deep understanding of machine learning algorithms, particularly large language models, and applying them effectively in ML projects.
  • Design machine learning platforms that promote reuse and scalability, incorporating telemetry for complex failure mode analysis.
  • Mastery of machine learning concepts, such as supervised and unsupervised learning, demonstrating innovative solutions.
  • Familiarity with Unix/Linux systems, along with strong communication and documentation skills.
  • Ability to navigate ambiguity while delivering great results that meet evolving needs.

Nice to Have:

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

Compensation:

The base pay for this position ranges from $214,240 to $321,360 per year depending on the geographic market, with actual pay based on factors such as location, job-related knowledge, education, skills, and experience. Additional bonuses and commissions may also be offered.

Benefits:

  • Competitive benefits package, including medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan, flexible spending & health savings account.
  • Paid holidays and paid time off, employee assistance program, and other company benefits.

This is a hybrid opportunity, requiring you to work from a SurveyMonkey office once a week.

Why SurveyMonkey?

At SurveyMonkey, we’re building an inclusive workplace where people of every background can excel no matter their time zone. We value employee feedback and weave our core values into everything we do, creating forward-looking benefits policies, employee programs, and an award-winning culture. We also provide learning and development opportunities like Curiosity Week and the 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 based on 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 law. Accommodations are available for applicants with disabilities.

Secret insights

SurveyMonkey is scaling fast with 12% headcount growth. Engineering up 25%, focusing on tech talent. HR grew 30%, showing they care. Ideal for data pros eyeing a supportive, growth-driven environment!