Senior Software Engineer MLOps

SurveyMonkey; Canada; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading survey platform is seeking a Senior Software Engineer (MLOps) to operationalize machine learning models within their products. This role involves collaborating with data scientists to deploy ML models, maintaining CI/CD pipelines, and creating user-friendly UI components. Ideal candidates have extensive experience in engineering, particularly with Python and AWS, along with strong collaborative skills. The position is remote but may involve occasional in-person participation.

Qualifications

• 5+ years of professional engineering experience in frontend and DevOps/MLOps.
• 3+ years of ML engineering experience using Python 3 in backend development.
• Experience with AWS for model deployment/serving.

Responsibilities

• Collaborate with data scientists to productionize ML models.
• Implement and maintain CI/CD pipelines for ML workflows.
• Build and maintain responsive, reusable, and performant UI components.

Skills

ML engineering experience using Python 3

Collaboration skills

Familiarity with CI/CD pipelines

Hands-on experience with AWS

Understanding of MLOps concepts

Tools

Docker

Kubernetes

ML frameworks (TensorFlow, PyTorch, scikit-learn)

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

We are seeking a Senior Software Engineer (MLOps) who can contribute to the operationalization of machine learning models and ML features within the product. In this role, you will be building the Next Generation ML Platform and also collaborating closely with data scientists and ML engineers to ensure models are deployed, monitored, and scaled effectively in production. This is a hands‑on position where you’ll work across the stack and help bridge the gap between user experience and ML infrastructure. 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.

What you’ll be working on

• Collaborate with data scientists to productionize ML models.
• Implement and maintain CI/CD pipelines for ML workflows.
• Contribute to model monitoring, data validation, and alerting systems.
• Support automation of model deployment, retraining, and versioning processes.
• Troubleshoot and resolve issues across ML infrastructure and frontend integrations.
• Build and maintain responsive, reusable, and performant UI components.
• Work with designers and product managers to translate requirements into intuitive user experiences.
• Integrate frontend applications with APIs and ML-driven services.
• Ensure accessibility, security, and performance best practices in frontend code.

We’d love to hear from people with

• 5+ years of professional engineering experience, with exposure to both frontend and DevOps/MLOps domains.
• 3+ years of ML engineering experience using Python 3 in backend development and AWS for model deployment/serving.
• Familiarity with CI/CD pipelines, containers (Docker), and orchestration (Kubernetes).
• Strong understanding and hands‑on experience in MLOps concepts such as model deployment, monitoring, and lifecycle management.
• Experience with LLMs, RAG based systems and agentic workflow is a plus.
• Hands‑on experience with AWS.
• Strong collaboration skills and ability to work effectively with cross‑functional teams.
• Bonus if you have exposure to ML frameworks (TensorFlow, PyTorch, scikit‑learn).

SurveyMonkey believes in‑person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution. While this role is remote, it may require in‑person participation. You will be encouraged to attend company events throughout the year. These events will take place at a designated SurveyMonkey office or location.

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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