Machine Learning Engineer II

What we’re looking for

The Machine Learning Platform (MLP) team owns the complete ML operations pipeline and is responsible for building a machine learning platform that accelerates the efficient adoption of ML across all SurveyMonkey products. The 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.

What you’ll be working on

• As an ML Engineer, you will design and implement secure, scalable, and high-performance pipelines managing the end-to-end lifecycle of ML models. 
• Collaborating closely with SurveyMonkey's application engineers, 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. 
• We need your help as we continue to evolve our ML 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. 
• We use applied machine learning techniques that include generative AI, natural language processing, classification, spam detection, personalization/ranking, etc. at a significant scale and generally in real-time.

We’d love to hear from people with

• 2+ years of ML engineering experience using Python 3 in backend development and AWS for model deployment/serving.
• Basic data engineering experience using tools such as S3 or SQL to extract features for model-building.
• Basic model-building experience using tools such as SageMaker.
• Experience with Unix/Linux operating systems (Ubuntu preferred).
• Comfortable with machine learning techniques including LLMs. 
• Experience deploying end-to-end solutions with creative problem-solving skills to handle a high volume of throughput.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from a SurveyMonkey office up to 1 day every other week.

#LI - Hybrid