SurveyMonkey
surveys and forms
SeniorSoftwareEngineerII
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer II at SurveyMonkey. Skills: design and implement secure, highly scalable, and high-performance pipelines that govern the end-to-end lifecycle of ML models, ML cloud infrastructure using AWS services, integrate, test, and monitor ML model services across SurveyMonkey’s microservices architecture, ML concepts, Large Language Models (LLMs), NLP, Python, high-scale data processing, deploying end-to-end solutions for real-time applications. design and implement the secure, hi”
Industry & Context.
complex failure mode analysis
may require in-person participation for company events
What They're Looking For.
Must Have
8+ years of professional ML development experience, proven track record of designing and implementing ML infrastructure in AWS, Mastery of ML concepts (supervised/unsupervised learning), deep understanding of Large Language Models (LLMs) and NLP, Expert-level Python skills, experience with high-scale data processing (PySpark, etc.), Comfortable with Unix/Linux systems, experienced in deploying end-to-end solutions for real-time applications (spam detection, personalization, ranking), Bachelor’s Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field
What You'll Do.
design and implement the secure
and high-performance pipelines that govern the end-to-end lifecycle of ML models
Build and maintain robust ML systems using Python (Pandas/NumPy
PyTorch/transformers) to support efficient ML operations
Design ML cloud infrastructure using AWS services
ensuring the platform is built for reuse
and high-volume throughput
Collaborate with application engineers to integrate
and monitor ML model services across SurveyMonkey’s microservices architecture
Act as a consultant to internal feature teams
educating and influencing decisions regarding ML tooling and infrastructure
Incorporate telemetry into the platform for complex failure mode analysis
ensuring real-time reliability for millions of daily survey responses
Serve as a technical leader and mentor
championing high standards in coding
and architectural best practices to foster the professional growth of junior engineers on the MLP team
How You'll Work.
Team & Collaboration
Collaborate with application engineers to integrate, test, and monitor ML model services across SurveyMonkey’s microservices architecture; Act as a consultant to internal feature teams, educating and influencing decisions regarding ML tooling and infrastructure; Serve as a technical leader and mentor, championing high standards in coding, documentation, and architectural best practices to foster the professional growth of junior engineers on the MLP team
Communication Scope
educating and influencing decisions
Full Job Description
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 Machine Learning Platform team (MLP) is seeking a Senior Software Engineer II to design and implement the secure, highly scalable, and high-performance pipelines that govern the end-to-end lifecycle of ML models. You will work at the intersection of Data Science and DevOps, building the "connective tissue" that empowers our product portfolio to leverage technologies like Generative AI, Natural Language Processing (NLP), and real-time classification. We are looking for a subject matter expert who will drive innovation and deliver results that meet the dynamic needs of a high-growth AI environment. You will report to the Senior Engineering Manager on the MLP Solutions team. What you’ll be working on Build and maintain robust ML systems using Python (Pandas/NumPy, PyTorch/transformers) to support efficient ML operations. Design ML cloud infrastructure using AWS services, ensuring the platform is built for reuse, scalability, and high-volume throughput. Collaborate with application engineers to integrate, test, and monitor ML model services across SurveyMonkey’s microservices architecture. Act as a consultant to internal feature teams, educating and influencing decisions regarding ML tooling and infrastructure. Incorporate telemetry into the platform for complex failure mode analysis, ensur
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