Senior Machine Learning Engineer II

Summary: Designs and builds scalable machine learning infrastructure and pipelines on AWS, integrating ML models into SurveyMonkey's microservices architecture. Provides technical guidance and mentorship to engineers on the ML platform.

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 http://surveymonkey.com.

What we’re looking for

The Machine Learning Platform (MLP) team is looking for a Senior Machine Learning Engineer II to design and build secure, highly scalable, and high-performance pipelines that support the end-to-end lifecycle of machine learning models. Reporting to the Senior Engineering Manager on the MLP Solutions team, you’ll work at the intersection of Data Science and DevOps, building the infrastructure and systems that enable SurveyMonkey’s products to leverage technologies such as Generative AI, Natural Language Processing (NLP), and real-time classification. You’ll play a key role in evolving our ML platform, driving innovation, and delivering reliable solutions that support the needs of our growing AI ecosystem.

What you’ll be working on

• Build and maintain robust machine learning systems using Python and relevant libraries and frameworks, including Pandas, NumPy, PyTorch, and Transformers, to support efficient ML operations.
• Design and implement cloud infrastructure for machine learning using AWS services, ensuring the platform is reusable, scalable, and capable of supporting high-volume workloads.
• Partner with application engineers to integrate, test, and monitor ML model services across SurveyMonkey’s microservices architecture.
• Serve as a technical consultant to internal feature teams, providing guidance and influencing decisions around ML tooling, infrastructure, and platform capabilities.
• Implement telemetry and monitoring capabilities to support complex failure analysis and maintain reliable, real-time services that support millions of daily survey responses.
• Provide technical leadership and mentorship to engineers on the MLP team, promoting high standards in code quality, documentation, and architectural best practices.

We’d love to hear from people with

• 8+ years of professional experience in machine learning engineering or development, including designing and implementing ML infrastructure in AWS.
• Strong understanding of machine learning concepts, including supervised and unsupervised learning, along with experience working with Large Language Models (LLMs) and Natural Language Processing (NLP).
• Expert-level proficiency in Python and experience with large-scale data processing technologies such as PySpark.
• Experience deploying and operating end-to-end machine learning solutions for real-time applications, such as spam detection, personalization, or ranking systems.
• Strong working knowledge of Unix/Linux environments and experience supporting production machine learning systems.
• Experience designing and building scalable, reliable cloud infrastructure for machine learning workloads using AWS.

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, this opportunity is hybrid and requires you to work from the SurveyMonkey office in Bengaluru 3 days per week.

*#LI - Hybrid*

Why SurveyMonkey? We’re glad you asked

At SurveyMonkey, curiosity powers everything we do. We’re a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers. Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like the [CHOICE Fund](https://www.surveymonkey.com/curiosity/the-c-h-o-i-c-e-fund-at-surveymonkey/) to help employees thrive in work and life.

We’ve been trusted by organizations for over 25 years, and we’re just getting started. Our milestones include celebrating a quarter-century of curiosity with [25 acts of giving](https://www.surveymonkey.com/curiosity/25-anniversary-acts-of-giving/), opening new hubs in [Costa Rica](https://www.surveymonkey.com/curiosity/bringing-global-survey-tools-together-with-pura-vida-surveymonkey-launches-in-costa-rica/) and [India](https://www.surveymonkey.com/newsroom/expands-global-footprint-new-bengaluru-office/), crossing the threshold of [100 billion questions answered](https://www.linkedin.com/posts/surveymonkey_this-week-were-celebrating-a-monumental-activity-7320476713241436160-1njI?utm_source=share&utm_medium=member_desktop&rcm=ACoAACXxneYBWR2gGWzCKIZny7jMucfLGW7KORE), and earning recognition as one of the Most Inspiring Workplaces across [North America](https://www.surveymonkey.com/newsroom/surveymonkey-celebrates-inspiring-workplaces-win-in-na-2025/) and [Asia](https://www.surveymonkey.com/newsroom/surveymonkey-celebrates-inspiring-workplaces-win-in-asia/).

We live our [company values](https://www.surveymonkey.com/curiosity/surveymonkey-company-values-refresh-2025/)—like championing inclusion and making it happen—by embedding them into how we hire, collaborate, and grow. They help shape everything from our culture to our business decisions. Come join us and see where your curiosity can take you.

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.

Your data

For more information on how SurveyMonkey (including its subsidiary and affiliated companies) processes your personal data as a job candidate or applicant, please see our [Global Applicant and Candidate Data Privacy Notice](https://www.surveymonkey.com/mp/legal/candidate-privacy-notice/). Please note that we may use artificial intelligence (AI) tools to support parts of the hiring process, such as sourcing candidates, reviewing applications, analyzing resumes, or summarizing interviews. These tools assist our recruitment team but do not replace human judgment.