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Added 4 months ago
EN
Distinguished SW Systems Engineer (10343)
Extreme Networks
Toronto, ON
- Full-time
Added 4 months ago
L
Engineering Manager, Lime Vision
Lime
Remote, Canada
- $172,000 to $237,000 CAD / year
- Full-time
- Remote
Experience building, deploying, and operating ML systems in production, including edge AI environments and modern MLOps practices.
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Added 4 months ago
B
Data Scientist, Tax Transformation Office
BDO
Toronto, Ontario
- Full-time
Experience with MLOps, model deployment, APIs, and scalable AI infrastructure considered an asset
Added 1 month ago
IF
Senior Full-Stack Software Developer (Python/React)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior Full-Stack Software Developer (Python/React) to join our growing AI Engineering team and build reliable, scalable AI-powered products across distributed systems,…
Added 4 months ago
P
AI Engineer
Portless
Remote, Canada
- Remote
Added 4 months ago
US
Senior Data & AI Consultant/Consulting Lead (Montreal, Canada)
Unit8 SA
Remote, Canada
- Full-time
- Remote
Shape the critical enablers that make data and AI work at scale, such as data & AI governance, LLMOps and MLOps, responsible, compliant AI, and the operating models behind data and AI…
Added 5 months ago
Senior Data Platform Engineer
Helcim Inc
Calgary, Alberta
…platform. You’ll work hands-on across our data infrastructure, MLOps/AI tooling, governance practices, and real-time modeling and monitoring capabilities, while establishing the standards…
Added 5 months ago
S
Staff Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $146,200 to $258,000 CAD / year
- Full-time
- Remote
Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (e.g., Weights & Biases, MLflow), automated testing, and version control for both code and…
Added 5 months ago
S
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $119,000 to $210,000 CAD / year
- Full-time
- Remote
Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (e.g., Weights & Biases, MLflow), automated testing, and version control for both code and…
Added 4 months ago
B
Solution Architect, AI
BRP
Montreal, Quebec
- Full-time
Familiarity with MLOps concepts: model lifecycle, versioning, deployment, monitoring.
Added 5 months ago
P
Principal Enterprise Architect, AI Platform
Priceline
Toronto, Ontario
- Full-time
Define Platform Standards: Deliver "golden paths" and reusable frameworks (e.g., multi-agent frameworks like LangChain/LangGraph) to improve developer productivity for AI use cases.
Added 1 month ago
Staff Software Engineer, Machine Learning Platform
Stripe
Toronto, ON
Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company.
Added 4 months ago
B
Solution Architect, AI
BRP
Montreal, Quebec
- Full-time
Familiarity with MLOps concepts: model lifecycle, versioning, deployment, monitoring.
Added 1 month ago
DevOps Engineer
Later
Vancouver, BC
Help evaluate and adopt DevOps and MLOps tools that improve system efficiency, observability, developer experience, model deployment, and operational reliability.
Added 2 months ago
SP
Applied AI Engineer
Singapore Post
Montreal, QC
- Full-time
Scalable MLOps Architecture: Develop and maintain robust agentic frameworks ensuring the infrastructure can scale to meet the demands of various strategic partners.
Added 3 months ago
AI Developer/Prompt Engineer
Levio
Toronto, Ontario
We are seeking AI Developer /Prompt Engineer to contribute to major projects.
Added 5 months ago
H
AI Engineer - Remote
Huzzle
Remote, Canada
- Full-time
- Remote
Knowledge of MLOps and model monitoring tools.
Added 5 months ago
H
Applied AI Scientist (Hybrid)
Homebase
Remote, Canada
- $108,000 to $130,000 CAD / year
- Full-time
- Remote
Added 5 months ago
O
Senior Software Developer, Data & MLOps
OSEDEA
Montreal, Quebec
- Full-time
As a Senior Software Developer with strong Data Engineering and MLOps experience, you design, build, and deliver robust data and machine learning solutions for our clients. You combine…
Added 5 months ago
S
Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
Added 5 months ago
T
Machine Learning Engineer II
TD
Remote, Canada
- Full-time
- Remote
Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices
Added 5 months ago
B
Senior Platform Systems Engineer
Bettermode
Toronto, Ontario
- Full-time
Added 5 months ago
C
AI Engineer
Chubb
Toronto, ON
- Full-time
…streamline LLM and generative AI workflows while driving adoption of MLOps best practices, including CI/CD pipelines, versioning, testing, and model…
Added 5 months ago
IE
Senior Machine Learning Engineer
Index Exchange
Toronto, Ontario
- Full-time
Design and implement enterprise-scale MLOps systems and platforms (including data ingestion, feature pipelines, model training, validation, deployment and monitoring), setting standards for…

SurveyMonkey

Senior Software Engineer II

Remote, Canada

Remote

$126,400 to $158,000 CAD / year · Full-time

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Job details

Pay: $126,400 to $158,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 8+ years of professional ML development experience with a proven track record of designing and implementing ML infrastructure in AWS.
Posting language: English
Posted: May 12, 2026

Original 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, ensuring real-time reliability for millions of daily survey responses.
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.

We’d love to hear from people with

8+ years of professional ML development experience with a proven track record of designing and implementing ML infrastructure in AWS.
Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language Models (LLMs) and NLP.
Expert-level Python skills and experience with high-scale data processing (PySpark, etc.).
Comfortable with Unix/Linux systems and 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.

The base pay provided for this position ranges from CAD $126,400.00/ year - $158,000.00/ year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

This opening is for an existing vacancy.

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.

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 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, opening new hubs in Costa Rica and India, crossing the threshold of 100 billion questions answered, and earning recognition as one of the Most Inspiring Workplaces across North America and Asia.

We live our company values - 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. 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.

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More about this job

Responsibilities

Design and implement secure, scalable, and high-performance ML pipelines to govern the end-to-end lifecycle of models. Collaborate with application engineers to integrate ML services into a microservices architecture and mentor junior engineers on architectural best practices.

Requirements

Requires 8+ years of professional ML development experience with mastery of AWS infrastructure and expert-level Python skills. A Bachelor's degree in Computer Science, Data Science, or a related quantitative field is required.

Skills

Python
AWS
PyTorch
Transformers
Pandas
NumPy
PySpark
Large Language Models
Natural Language Processing
MLOps
Microservices Architecture
Unix/Linux
Supervised Learning
Unsupervised Learning
Data Processing
Telemetry

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
RRSP Matching
Flexible Spending Account
Health Savings Account
Paid Holidays
Paid Time Off
Employee Assistance Program

Remote locations

Ottawa, Canada

Remote locations (standardized)

Ottawa, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Generative AI
NLP
AWS
Python
PyTorch
Pandas
NumPy
PySpark
LLM
MLOps
Microservices
Unix
Linux
Supervised Learning
Unsupervised Learning
Data Science
DevOps
Telemetry
Scalability
Real-time Classification
Spam Detection
Personalization
Ranking
Software Engineering

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