# Principal Scientist [Machine Learning Engineer] - Ads Platform at Fetch

Fetch is hiring a Principal Scientist [Machine Learning Engineer] - Ads Platform for a remote role open to applicants in United States. Level rates it Builds AI ●●●●; you can [apply on Fetch](https://jobsbylevel.com/go/e04ec542-4584-48d0-863a-0fdbb54c2061?utm_medium=ai-agent).

AI Level 4, AI centrality 95 out of 100. Remote (United States - Remote).

## Details

- Company: [Fetch](https://jobsbylevel.com/companies/fetch)
- AI level: AI Level 4 (score 95 out of 100)
- Location: Remote (United States - Remote)
- Posted: August 18, 2026
- Apply: https://jobsbylevel.com/go/e04ec542-4584-48d0-863a-0fdbb54c2061?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-scientist-machine-learning-engineer-ads-platform-at-fetch-f37736

## Prepare for this job

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## 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. Meet Fetch Engineering At Fetch, engineering is driven by curiosity, ownership, and a bias toward action. We operate in complex problem spaces where the right answer is not always clear, and success depends on adaptability, critical thinking, and informed decision-making. Our engineers are comfortable navigating ambiguity, understanding tradeoffs, gathering context, and turning uncertainty into progress while maintaining high technical standards. Engineers at Fetch take pride in building reliable, scalable systems that serve millions of users. You will contribute directly to the codebase, collaborate closely with cross-functional partners, and help shape best practices that elevate the quality of our work. We foster a culture of mentorship and collaboration, where engineers grow by learning from one another and holding a high bar for quality, reliability, and impact. About the Role: Fetch is entering its AI-first era, and we're looking for a Principal Machine Learning Engineer to design, scale, and evolve the intelligent systems that power personalization, relevance, and ranking across our platform. You will build the ML infrastructure and real-time learning systems that enable Fetch to serve more relevant, adaptive, and high-performing experiences for millions of users. Operating at the intersection of ML infrastructure, personalization, and large-scale distributed systems, you will be a key technical force shaping how Fetch's ML systems evolve. You'll collaborate with Product, Data Science, Platform, and Engineering teams to drive clarity, define architectural standards, and ensure our ML systems become smarter, faster, and more adaptive to evolving user preferences over time. This is a hands-on, high-impact technical leadership role with influence across multiple engineering collectives. Your work will shape how Fetch builds and scales ML infrastructure: personalization, search, ranking, real-time learning, and feature systems at consumer scale. Role Responsibilities Architect for Scale and Intelligence: Design and

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Source: https://jobsbylevel.com/jobs/principal-scientist-machine-learning-engineer-ads-platform-at-fetch-f37736

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