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Added 17 mins ago
Junior Grain Trader / Trader de grains junior
McGill St Laurent
Montreal, QC
Full-time
Notre objectif : te former pour devenir Grain Trader et bâtir ton propre book of business.
Added 17 mins ago
Product Manager, Enterprise Data & Forecasting
CDAI
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
CDAl builds the digital and intelligence layer powering Compass Group, one of the world’s largest foodservice and support services organizations.
Added 17 mins ago
RPAS/UAS Flight Test Pilot
Drone.vet
Vaughan, ON
Full-time
Volatus Aerospace is a leader in innovative global aerial solutions for intelligence and cargo. With deep technological and subject matter expertise and over 100 years' worth of combined…
Added 17 mins ago
CAD/CAM Engineering Specialist, Cabinetry
Stelumar Advanced Manufacturing Inc.
Canada
Full-time
You are also eligible to participate in Stelumar’s annual bonus program which gives you the opportunity to increase your total compensation if business and individual goals are achieved.
Added 33 mins ago
Senior Analyst, Macro Surveillance and Analytics
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
Full-time
Develops and maintains business relationships across the Credit Union and Insurance Prudential teams to provide data expertise, collaboration and support in decision making for initiatives…
Added 33 mins ago
Economic Development Officer
Municipality of Chatham-Kent
Chatham-Kent, ON · Chatham, ON
Full-time
…Development Officer is responsible for fostering a thriving business environment in the Municipality of Chatham-Kent. This position plans and implements business retention, expansion,…
Added 33 mins ago
Senior Project Manager, PMO
Magna International
Aurora, ON
Full-time
…projects and strategic initiatives. The role partners with business and IT stakeholders to define requirements, establish delivery strategies, manage execution, and ensure that projects…
Added 33 mins ago
Senior Manager, AML Risk Analytics
Royal Bank of Canada
Toronto, ON
Full-time
Deliver proactive investigative leads and conduct analytical deep-dives on targeted threat topics, ensuring intelligence is timely and actionable while maintaining expertise in evolving…
Added 33 mins ago
Manager AML Risk Analytics
Royal Bank of Canada
Toronto, ON
Full-time
…the intersection of advanced data analytics and investigative intelligence within our financial crime prevention program. This role requires expertise in both quantitative data analytics…
Added 33 mins ago
Senior Solutions Architect, IAM-2
Royal Bank of Canada
Toronto, ON
Full-time
…provides a unique opportunity to work closely with numerous business and functional areas across the…
Added 47 mins ago
Business Intelligence Engineer
OpenTable
Toronto, ON
Reporting to the Manager, Business Intelligence, this position sits at the intersection of data engineering, analytics, and applied AI, building data infrastructure, intelligent workflows,…
Added 1 hour ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
Support pre-sales and business development with solution architecture input, demos, and technical Q&A
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BlackBerry Radar- Senior Manager, Strategic Accounts & Customer Success
BlackBerry
Toronto, ON · Waterloo, ON
Full-time
Bring market and customer intelligence into the business to help identify emerging needs and opportunities.
Added 1 hour ago
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Full-time
Prepare and be able to present a complete file strategy, coverage analysis, disposition and business case
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Manager, Business Function Products, BC Health Workday
Sanya’k̓ula
BC · British Columbia, Canada
Full-time
A level of education, training, and experience equivalent to a Bachelor’s degree in Data Science, Business Intelligence, Business Administration, Human Resources, Information Systems, or a…
Added 1 hour ago
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BlueDot
Canada
Full-time
BlueDot is a global leader in outbreak intelligence, helping governments and businesses around the world quickly identify, understand, and respond to infectious disease threats to protect…
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Data Analyst
Wiraa
Canada
Full-time
We are seeking a highly experienced Data Analyst specializing in Business Intelligence, Analytics, Power BI, and Power Platform to join our client's dynamic team on a 12-month hybrid…
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Director, IT Operations
Dye & Durham Corporation
Toronto, ON
Full-time
…automation and AI solutions to enhance operational efficiency and business…
Added 1 hour ago
AI Developer
Cameco Corporation
Saskatoon, SK
Full-time
As an AI Developer in Cameco's AI and Automation group, you will design, build and maintain AI solutions and agentic applications on our AI platforms. You will work with technical and…
Added 1 hour ago
Sr. AI Developer
Cameco Corporation
Saskatoon, SK
Full-time
The Sr. AI Developer leads the design and delivery of advanced AI and agentic solutions on Cameco’s AI platforms. This role provides technical leadership across model fine-tuning, RAG and…
Added 1 hour ago
Analyst, Institutional Client Credit Management; DVP, Corporates & NBFI
Royal Bank of Canada
Toronto, ON
Full-time
Develop and maintain relationships with clients to enhance credit management and to seek to optimize business opportunities.
Added 1 hour ago
Senior Security Specialist - Cloud (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Forge partnerships with defensive teams such as Cloud Security, Cloud Operations, Threat Hunting, Threat Intelligence, SOC / IR, and our ATO ML/AI analytics team to drive pragmatic cyber…
Added 1 hour ago
Senior Manager, Total Rewards
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Full-time
…challenges, modernize practices, and build programs that support both business objectives and employee…
Added 1 hour ago
D365 Finance & Operations Sr. Analyst
Yoush Consulting
Toronto, ON
Full-time
Analyze business requirements and translate them into technical specifications for Microsoft Dynamics 365 F&O
Added 2 hours ago
ESG-Intern
Husky Technologies
Bolton, ON
Part-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…

SurveyMonkey

Machine Learning Engineer - Multiple Positions

Ottawa, ON, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

Apply About employer

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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

SurveyMonkey's Machine Learning organization spans two connected tracks: the Machine Learning Platform (MLP) team, which builds the secure, scalable pipelines and infrastructure that deploy and monitor ML models in production, and the Product Data Science team, which designs, builds, and fine-tunes the models, from statistical methods to LLMs, before they reach deployment. We're building enterprise-scale NLP and ML systems, and looking for talented ML engineers at different levels, from early career through to Staff Engineer. Whether you're a technical leader ready to shape our ML architecture and mentor teams, or an engineer looking to own end-to-end ML solutions, we have roles that could fit.

You'll work at the intersection of Data Science, DevOps, and Product, helping power technologies like Generative AI, NLP, and real-time classification across SurveyMonkey's product portfolio.

What You’ll Be Working On

Build and own end-to-end ML/AI solutions within the product, maintaining long-term ownership through different stages of deployment, refinement, and iterative enhancements
Build end-to-end monitoring and telemetry systems to detect complex failure modes, deterioration of predictive accuracy, and usage patterns.
Architect scalable ML platforms and production data pipelines, collaborating cross-functionally to integrate new data sources.
Create novel and traditional ML/AI implementations for the in-product experience, collaborating with Product, Design, Front- and Back-End developers to educate teams and iterate through solutions and designs.
Deliver tailored AI solutions by training, fine-tuning, and deploying models ranging from statistical methods to cutting-edge LLMs.
Drive continuous improvement and innovation through research, proposing adoption strategies for external solutions, identifying knowledge gaps within the team, and ensuring hiring and training initiatives address capability needs.

We’d Love To Hear From People With

Extensive professional experience in Machine Learning and Data Science, building and maintaining models in production environments.
Strong expertise in Natural Language Processing, statistical modelling and analysis, and modern ML methods. Deep understanding of not just the models, but what's happening within them - hands-on experience building novel architectures for bespoke product solutions.
Experience handling data at scale with familiarity in Human-In-The-Loop labelling, training and scaling usable data, plus foundational exploratory data analysis.
Proven expertise in creating evaluations and evaluation platforms for non-deterministic systems, including LLM-as-Judge techniques, inferred signals, and traditional model evaluation mechanisms to validate performance and maximise ML/AI impact.
Experience developing production monitoring and creating feedback loops using active feedback, passive signals, and user behaviours to identify key performance indicators for user journeys and experiences.
SaaS development and deployment experience, building multi-scaled, right-sized ML solutions in SaaS environments with CI/CD code lifecycle practices in AWS environments and services (Kafka, EKS, SageMaker, Athena).
Demonstrated experience building LLM-powered product integrations, including Agents and autonomous processes, RAG and context enrichment, and modern prompt engineering methods with guided generation and oversight.
Proven leadership and mentorship capabilities as a technical leader with the ability to mentor engineers across teams and manage complex deliverables.

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 for up to 1 day per week.

- 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 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

Build, deploy, monitor, and iteratively improve end-to-end machine learning and AI solutions, including scalable platforms, production data pipelines, and product integrations using statistical methods and large language models. Collaborate with Product, Design, Data Science, and engineering teams to develop evaluations and feedback loops, guide technical strategy, and mentor engineers.

Requirements

Candidates should have extensive professional experience building and maintaining production machine learning and data science systems, with strong expertise in NLP, statistical modeling, model evaluation, and production monitoring. The role also calls for experience with SaaS and AWS deployments, LLM-powered integrations such as agents and RAG, and technical leadership and mentorship.

Skills

Machine Learning
Natural Language Processing
Statistical Modeling
Large Language Models
Model Evaluation
Production Monitoring
Machine Learning Platforms
Data Pipelines
Human-in-the-Loop Labeling
Active Learning
AWS
Kafka
Amazon EKS
Amazon SageMaker
Amazon Athena
Retrieval-Augmented Generation

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Natural Language Processing
Statistical Modeling
Large Language Models
Generative AI
Model Fine-Tuning
Model Deployment
Model Evaluation
LLM-as-Judge
Production Monitoring
Telemetry
Machine Learning Platforms
Production Data Pipelines
Human-in-the-Loop Labeling
Exploratory Data Analysis
Active Feedback
SaaS
CI/CD
AWS
Kafka
Amazon EKS
Amazon SageMaker
Amazon Athena
AI Agents
Autonomous Processes
Retrieval-Augmented Generation
Context Enrichment
Prompt Engineering
Guided Generation

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