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Added 1 month ago
Vision & AI Applications Engineering Trainee - 102134
Hatch
Mississauga, ON
Experience with Python or C++ through research, internships, coursework, or personal projects, with an interest in writing reliable, maintainable code.
Added 1 month ago
RC
Senior Full Stack Engineer (Python)
Rules Cube
Toronto, ON
- Full-time
As a Senior Full Stack Engineer on the MediCore team, you'll own product features end to end, from database design and Python APIs to polished front-end experiences. You'll work closely…
Added 1 month ago
RC
Data Architect
Rules Cube
Toronto, ON
- Full-time
Rules Cube is a Toronto-based digital transformation and Pega consulting firm with offices in Canada, US, Mexico, and Latin America.
Added 1 month ago
H
Artificial Intelligence Engineer
Hays
Halifax, NS
- Full-time
Strong software engineering background with Python.
Added 1 month ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
The RBC Borealis Lumina Platform team is hiring a Lead Full Stack Developer who will bring focus and subject-matter expertise around designing and implementing APIs and UIs for the AWS and…
Added 1 month ago
R
Lead ML Platform Engineer
RBC
Calgary, AB
- Full-time
Proficiency with programming languages such as Python, Bash, or JavaScript;
Added 1 month ago
IA
Senior Elixir Full Stack Developer
Invision AI
Remote, Canada
- Full-time
- Remote
As a Senior Full Stack Developer, you will work on projects related to machine learning, image processing, and real-time video processing. You will develop solutions on different…
Added 1 month ago
CI
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
- Full-time
…team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to…
Added 1 month ago
C
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to…
Added 1 month ago
A(
Machine Learning Resident - Client: Pratt & Whitney Canada (6 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
…Computing Science, AI/ML, Engineering, or a related field, with substantial research or project experience in ML and optimization - particularly in forecasting, predictive modeling, time…
Added 1 month ago
C
Lead Data Scientist
Class8
Remote, Canada
- $130,000 to $200,000 CAD / year
- Full-time
- Remote
Class8 is building a suite of products to help trucking companies better run their business, and help them connect with freight opportunities through brokerages and other data partners. Our…
Added 1 month ago
S
Senior Quality Process Development Engineer
Semtech
Burlington, ON · CAN - Burlington, ON
- Full-time
Proficiency in Python (or equivalent) for data analysis and ML model development, and strong SQL or equivalent skills for working with large structured production datasets
Added 1 month ago
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Credit Risk Manager
PwC
Toronto, ON
- Full-time
A career in our Financial Services Risk & Regulatory Credit Risk Modelling practice will provide you with the opportunity to help financial institutions rethink their approach to risk by…
Added 1 month ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel, EMR), AWS infrastructure (Lambda, DynamoDB,…
Added 1 month ago
R
Principal AI Engineer
RBC
Calgary, AB
- Full-time
10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
Added 1 month ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 USD / year
- Full-time
- Remote
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 1 month ago
TC
Senior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
This role aligns with the Developer profile within CDI Quality Model. Quality is built in, not tested in.
Added 1 month ago
S
Senior Quality Process Development Engineer
Semtech
Burlington, ON
- Full-time
Proficiency in Python (or equivalent) for data analysis and ML model development, and strong SQL or equivalent skills for working with large structured production datasets
Added 1 month ago
D
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
- Full-time
Proficient in SQL and Python; comfortable with Terraform for infrastructure as code.
Added 1 month ago
T
Head of Machine Learning
Toast
Vancouver, BC
- $160,000 to $180,000 USD / year
- Full-time
Strong proficiency in Python, with hands-on experience using PyTorch and Scikit-learn
Added 1 month ago
VG
System Engineer
Vertage Global
ON · Ontario, Canada
- Contract
You will collaborate with cross-functional teams to define system requirements, support AI-powered diagnostic workflows, and develop solutions that improve fault detection, root-cause…
Added 1 month ago
Data Scientist Co-op
Moment Energy
Surrey, BC
Experience with Python and common data science libraries (NumPy, Pandas, SciPy, or similar)
Added 1 month ago
GS
Senior Software Developer
GeoLOGIC Systems Limited
Calgary, AB
- Full-time
Geologic is building a new cloud-first product, designed from the ground up on modern technology with AI at its core, and we're looking for a Senior Software Developer to help build it.…
Added 1 month ago
C
Senior Automation Developer (Java)
Citi
Mississauga, ON
- Full-time
Hands-On Java Expertise: Advanced, daily programming proficiency in Core Java (Java 11/17+), with deep practical expertise in Object-Oriented Programming (OOP), design patterns, Collections…
Added 1 month ago
ME
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
- $95,000 to $135,000 CAD / year
- Full-time
…infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is passionate about designing, deploying, and optimizing secure, scalable cloud…

Amazon

Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Sep 23, 2026

Original job description

Every time an advertiser runs a campaign on Amazon, they want to know: did it drive sales at Target, Walmart, Costco, and hundreds of other retailers? Omnichannel Metrics (OCM) answers that question - and we're just getting started. We build the ML-powered attribution systems that connect billions of ad impressions to real-world purchases across the entire retail landscape, processing massive-scale panel data to give advertisers measurement insights no competitor can match. OCM is one of Amazon Ads' highest-growth products, directly responsible for unlocking advertiser investment by proving the full omnichannel value of Amazon media.

Right now, we're shipping some of the most ambitious projects in MADS: Fine-Grained OCM that breaks attribution down to category and retailer level for the first time, OCM for Autos bringing omnichannel measurement to the automotive vertical, OCM Local building location-based foot traffic measurement for restaurants and retail, a Combined Methodology that unifies our Panel and Circana measurement into a single omnichannel view, and international expansion of the Unified Panel to 8 new marketplaces. Looking ahead to 2027, we're building real-time streaming attribution, integrating LLMs for agentic report generation and automated campaign optimization, expanding into healthcare and home services verticals, and launching causal incrementality measurement. The problems are genuinely hard - privacy-safe identity resolution at scale, calibrating ML models across sparse panel data, building streaming systems that produce daily estimates from weekly ground truth - and the ambiguity is high. You won't be handed a spec; you'll be defining what to build and how.

As an SDE II, you will own the architecture and delivery of major system components end-to-end. You'll make technology choices that shape how OCM scales from thousands to tens of thousands of active studies, design distributed data pipelines processing billions of events in Spark/EMR, and build the AI-powered features that transform OCM from a reporting tool into an autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel, EMR), AWS infrastructure (Lambda, DynamoDB, Step Functions, CDK), and data modeling for both relational and non-relational systems.

You will lead technical design reviews, mentor engineers, and raise the engineering bar across the team. You'll partner directly with applied scientists on ML model productionization and with product managers to translate ambiguous customer problems into scalable technical solutions. This is a team where an L5 engineer has outsized impact - we're small enough that your architectural decisions become the system, and high-visibility enough (S-team and VP-level goals) that leadership sees the results.

The ideal candidate thrives in ambiguity, has a track record of delivering complex distributed systems in fast-moving environments, and gets energized by problems that sit at the intersection of big data, ML, and product. You're not just looking for a job - you're looking for a team where you can shape the technical direction of a product that's redefining how the advertising industry measures success.

Key job responsibilities
- Design and build scalable data pipelines processing billions of ad impression and panel receipt events using Spark/EMR on Kestrel, powering omnichannel attribution for thousands of active advertiser studies
- Lead architecture decisions for OCM's calibration, report generation, and data processing systems spanning multiple pipelines across multiple AWS accounts
- Own end-to-end delivery of major product features - from technical design through production launch - including real-time streaming attribution, AI-powered report generation, and new vertical measurement frameworks
- Drive operational excellence across OCM's distributed systems: improve observability, eliminate silent failures, and build self-healing capabilities to meet advertiser SLAs
- Mentor junior engineers, raise the bar on code quality through design reviews and CRs, and establish engineering best practices across the team
- Partner with applied scientists and product managers to translate ML model requirements into production-grade systems that serve advertiser-facing measurement products

A day in the life
You might start your morning reviewing the overnight calibration pipeline run, investigating why a study's attributed sales look anomalous. After standup, you pair with an applied scientist to optimize a Spark job that processes panelist receipt data against ad exposure signals. In the afternoon, you lead a design review for a new streaming architecture that will reduce OCM's reporting latency from weeks to days. You close the day reviewing a CR from a teammate building LLM-powered receipt data extraction. Your work directly impacts how major brands like Procter & Gamble, Hasbro, and Scotts Miracle-Gro measure and optimize billions in advertising spend across Amazon and beyond.

About the team
Omnichannel Metrics (OCM) is part of MADS (Measurement, Ad Tech, and Data Science) within Amazon Ads. We answer the question every advertiser asks: "Did my Amazon ad drive sales at Target, Walmart, and other retailers?" Our team builds the ML-powered attribution systems that measure off-Amazon impact using panel data from millions of shoppers. We're a high-impact team in startup mode - shipping features that directly unlock advertiser investment and competing head-to-head with Google and Meta's measurement offerings. We value ownership, technical depth, and moving fast. Basic Qualifications: - 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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 - 114,800.00 - 191,800.00 CAD annually

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More about this job

Responsibilities

You will design and build scalable data pipelines to process billions of ad impression events while leading architecture decisions for attribution and reporting systems. Additionally, you will own the end-to-end delivery of product features and mentor junior engineers to raise the team's engineering standards.

Requirements

Candidates must have at least 3 years of professional software development experience and 2 years of experience in system design or architecture. A bachelor's degree in computer science or an equivalent field is preferred.

Skills

Software development
Distributed systems
Big data
Apache Spark
Java
Scala
Python
AWS
Data modeling
Machine learning
System architecture
Data pipelines
Cloud infrastructure
Technical leadership
Mentoring
Operational excellence

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
Omnichannel Metrics
Ad Tech
Data Science
Machine Learning
Attribution
Distributed Systems
Spark
EMR
AWS
Lambda
DynamoDB
Step Functions
CDK
Scala
Java
Python
Data Pipelines
LLMs
Cloud Computing
System Architecture
Data Modeling
Operational Excellence
Technical Design
Mentorship
Advertising
Big Data
Scalability
Reliability
Automation

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