# Staff Machine Learning Engineer - Ad Platform at Fetch

Fetch is hiring a Staff Machine Learning Engineer - Ad Platform for a remote role open to applicants in Canada. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/aa7b3481-6029-4b11-bd80-578740386495?utm_medium=ai-agent).

AI Level 4, AI centrality 84 out of 100. Remote (Canada - Remote).

## Details

- Company: [Fetch](https://jobsbylevel.com/companies/fetch)
- AI level: AI Level 4 (score 84 out of 100)
- Location: Remote (Canada - Remote)
- Posted: October 15, 2026
- Apply: https://jobsbylevel.com/go/aa7b3481-6029-4b11-bd80-578740386495?utm_medium=ai-agent

## Description

What we’re building and why we’re building it.
Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.
Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.
The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.
It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.
At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
About the Role:
Fetch is building the future of personalized consumer experiences. We’re looking for a Staff Machine Learning Engineer to serve as the technical lead for a high-impact ML team focused on personalization, relevance, and ranking.
In this role, you will own the technical direction and execution for your team’s ML systems - driving high-quality architecture, guiding implementation, and ensuring models and infrastructure operate reliably at scale. You’ll partner closely with product and cross-functional stakeholders while remaining deeply hands-on in design and development.
Role Responsibilities
Serve as the technical lead for a single ML-focused team, setting direction and raising the bar on engineering quality and system design.
Design, build, and scale ML systems supporting personalization, ranking, search, or ad-related use cases.
Own end-to-end architecture for your team’s services, including model training, evaluation, deployment, and serving.
Drive clarity in ambiguous problem spaces, translating product needs into scalable technical solutions.
Lead design reviews and ensure thoughtful tradeoffs around latency, reliability, experimentation, and maintainability.
Partner closely with product, data, and engineering stakeholders to deliver measurable business impact.
Mentor engineers through hands-on technical guidance, feedback, and example.
Use AI tools to accelerate development and improve system design, including:
Prototyping and validating ideas with LLM tools.
Leveraging AI for code iteration and experimentation.
Using AI assistants for architecture diagramming and design validation.
Exploring LLM-powered features where appropriate.
Minimum Requirements
12+ years of industry experience in machine learning or software engineering, with demonstrated ownership of production ML systems operating at scale.
Proven experience building and scaling ML systems in personalization, relevance, search, or ad tech domains.
Strong hands-on expertise in distributed systems, data pipelines, and ML infrastructure.

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/staff-machine-learning-engineer-ad-platform-at-fetch-372a54

Source: https://jobsbylevel.com/jobs/staff-machine-learning-engineer-ad-platform-at-fetch-372a54

## Cite this page

Level. https://jobsbylevel.com/jobs/staff-machine-learning-engineer-ad-platform-at-fetch-372a54.

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