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Added 2 months ago
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Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Mississauga, ON
- Full-time
Actively contribute to software development, both as a hands-on coder and as a reviewer.
Added 2 months ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Remote, Canada
- Full-time
- Remote
Actively contribute to software development, both as a hands-on coder and as a reviewer.
Added 6 months ago
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Software Engineer, Backend (All Levels)
Zip
Remote, Canada
- Full-time
- Remote
As a Software Engineer you will be responsible for building Zip’s core products and architecture. You will ship features that will be immediately used by our users, and will work with a…
Added 6 months ago
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Senior Software Engineer
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
The Senior Software Engineer leads implementation of complex features and epics, owns technical design end to end, and multiplies the pod's output - both by mentoring other engineers and by…
Added 6 months ago
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Software Engineer, Labelling, Data & Automation
Waabi
Toronto, ON
- $127,000 to $225,000 USD / year
- Full-time
As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The…
Added 6 months ago
Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, Ontario
Lead the development of media planning models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
Added 6 months ago
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Machine Learning Engineer
TD
Remote, Canada
- Full-time
- Remote
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 6 months ago
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C5ISRT Architect
Thales
Remote, Canada
- Full-time
- Remote
This position requires direct or indirect access to hardware, software or technical information controlled under the Canadian Export Control List and/or the US the Export Administration…
Added 6 months ago
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Senior AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands-on engineering…
Added 6 months ago
WA
Insurance Underwriting AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
Contribute to the development of underwriting dashboards, reporting tools, and decision-support systems.
Added 2 months ago
PC
Credit Risk Modelling Senior Associate
Pwc Canada
Toronto, ON
- Full-time
Model development, validation, internal audit of Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital…
Added 3 months ago
AR
Technical Project Manager / Technical Program Manager
A&K Robotics
Vancouver, British Columbia
- $100,000 to $180,000 CAD / year
- Full-time
Experience with common software development life cycle methodologies such as Agile and CI/CD, and adhering to best practices, including common design patterns
Added 6 months ago
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Credit Risk Modelling Senior Associate
PwC
Toronto, Ontario
- Full-time
Model development, validation, internal audit of Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital…
Added 6 months ago
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Staff AI Software Engineer (C++)
Qualcomm
Markham, ON
- Full-time
Development of software tools for profiling, and debugging to support rapid deployment of new neural networks in this fast changing field
Added 3 months ago
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Senior Manager, AI & Digital Strategy Consulting
BDO
Toronto, ON
- Full-time
…“end-to-end” enablement, from the initial stage of strategy development to effective design of the transformation, to the successful adoption of new digital, AI & data…
Added 7 months ago
Q
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
Markham, Ontario
- Full-time
…Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference…
Added 1 month ago
OT
Principal AI Developer
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
The OpenText Cloud Services organization is seeking a Principal Artificial Intelligence Developer to join the Cloud Platforms & AI Operations team and serve as a technical authority and…
Added 4 months ago
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Head of Technology - Ink
Netflix
Vancouver, British Columbia
- Full-time
Familiarity with modern and emerging software development technologies and AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, internal Netflix solutions), and how to integrate…
Added 6 months ago
PA
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
- Full-time
The Artificial Intelligence Engineer at Precision AI will contribute to the design, development, and deployment of AI-driven solutions. This role focuses on building, training, and…
Added 2 months ago
DI
Specialist, AI Engineering
Definity Insurance Company
Toronto, ON
- Full-time
AI Application Development: An AI Engineer is focused on the practical application of artificial intelligence and machine learning to create intelligent systems and solve real-world…
Added 2 months ago
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca
Toronto, ON
Added 2 months ago
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Software Development Engineer II, ML Platform
Remitly
Burnaby, BC
- Full-time
Partner closely with data scientists, ML engineers, and software engineers across multiple domains to deliver end-to-end solutions.
Added 5 months ago
AG
Lead AI Engineer
Altus Group
Toronto, Ontario
- Full-time
…hands-on in code, system design, experimentation, and AI solution development while guiding outsourced engineering resources and influencing technical direction across teams. This is a role…
Added 2 months ago
FI
Principal Software Engineer
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
Establish development standards, CI/CD, and engineering practices for the team forming around you
Added 4 months ago
B
Senior Consultant - Digital, Data & AI Strategy & Transformation
BDO
Montreal, Quebec
- Full-time
…“end-to-end” enablement, from the initial stage of strategy development to effective design of the transformation, to the successful adoption of new digital, data & AI capabilities. This is…

Amazon

Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Apr 22, 2026

Original job description

The Measurement, Ad Tech, and Data Science (MADS) team at Amazon Ads is at the forefront of developing innovative solutions that help tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality.

The Media Planning Science team, part of broader MADS team, develops and implements models that deliver insights and recommendations for strategic media planning and measurement across Amazon Advertising's product portfolio. Our mission is to help advertisers create and execute plans that meet their objectives while providing accurate measurement tools. We work on a multitude of problem statements that encompass Reach and Frequency, Budget Planning Optimization, and Recommendations. Our models leverage both heuristic and machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic systems to ensure optimal advertising outcomes.

As a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing media planning solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.

Key job responsibilities
* Lead the development of media planning models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
* Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.
* Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of media plans across different metrics.
* Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
* Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
* Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
* Foster collaborations between scientists to move faster, with broader impact.
* Regularly engage with the broader scientific community with presentations, publications, and patents.

A day in the life
You will solve real-world problems by analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop ML/DL models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal documents to share insights to audiences of varying levels of technical sophistication.

About the team
We are a team of scientists across Applied, Research, and Data Science disciplines. You will work with colleagues with deep expertise in ML, DL, NLP, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions. Basic Qualifications: - 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 195,900.00 - 327,200.00 CAD annually

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More about this job

Responsibilities

Lead the development of scalable media planning models and solutions while collaborating with cross-functional teams to define measurement strategies. Drive experimentation and continuous improvement of machine learning models to provide impactful business insights for advertisers.

Requirements

Requires a PhD or a Master's degree with 6+ years of applied research experience, along with 3+ years of experience building machine learning models. Proficiency in programming languages like Java, C++, or Python and experience with deep learning methods are essential.

Skills

Machine learning
Deep learning
Java
C++
Python
Causal inference
Natural language processing
Computer vision
Generative AI
Data science
Statistical modeling
Distributed systems
Spark
Hadoop
Media planning
Ad tech

Benefits

Health insurance
Dental insurance
Vision insurance
Prescription insurance
Basic life insurance
AD&D insurance
Deferred profit sharing plan
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Applied Scientist
Ad Tech
Data Science
Machine Learning
Deep Learning
Generative AI
Causal Inference
Natural Language Processing
Computer Vision
Java
C++
Python
Spark
Hadoop
Scikit-learn
Tensorflow
MxNet
Media Planning
Measurement
Optimization
Distributed Systems
Statistics
Mathematics
Operations Research
Algorithms
Predictive Modeling
Simulation
API
Agent-based modeling
Advertising

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