# Senior ML Operations Engineer II - Ads Platform at Fetch

Fetch is hiring a Senior ML Operations Engineer II - Ads Platform for a remote role open to applicants in United States. Level rates it Little AI ●○○○; you can [apply on Fetch](https://jobsbylevel.com/go/ad81e573-f587-43f1-a4d8-2d3b8620313a?utm_medium=ai-agent).

AI Level 1, AI centrality 13 out of 100. Remote (United States - Remote).

## Details

- Company: [Fetch](https://jobsbylevel.com/companies/fetch)
- AI level: AI Level 1 (score 13 out of 100)
- Location: Remote (United States - Remote)
- Posted: October 22, 2026
- Apply: https://jobsbylevel.com/go/ad81e573-f587-43f1-a4d8-2d3b8620313a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-ml-operations-engineer-ii-ads-platform-at-fetch-fe0327

## 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 entering its AI-first era, building the intelligent systems that power personalization, relevance, and ranking across our Ads Platform. These systems help Fetch deliver more relevant, adaptive, and high-performing experiences for millions of users while creating measurable value for advertisers.
As a Senior MLOps Engineer, you’ll own the operational foundation that brings ranking and recommendation models from experimentation into reliable production systems. You’ll partner with Data Science, Product, Platform, and Engineering across the full model lifecycle, including reproducible training, validation, deployment, versioning, monitoring, retraining, and retirement.
This is a hands-on technical leadership role operating at the intersection of ML infrastructure, personalization, and large-scale distributed systems. You’ll build reusable pipelines, strengthen observability and real-time learning workflows, establish architectural and reliability standards, and make model health and progress accessible through a shared model hub. Your work will enable Fetch’s Ads Platform to become smarter, faster, and more responsive to changing user behavior over time.
Role Responsibilities
Own the complete model lifecycle from experimentation through validation, deployment, versioning, retraining, rollback, and retirement.
Establish clear model promotion criteria, release processes, and rollback paths that enable teams to ship improvements confidently.
Design and build scalable ML data and feature engineering pipelines, including feature generation, historical aggregations, and training dataset construction, using Spark/PySpark and modern lakehouse technologies such as S3 and Apache Iceberg.
Develop reliable, incremental data processing pipelines with support for data quality validation, lineage, point-in-time correctness, and training-serving feature consistency.
Build monitoring for data quality, drift, prediction quality, service reliability, latency, and infrastructure cost.
Partner with data scientists to

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-ml-operations-engineer-ii-ads-platform-at-fetch-fe0327

Source: https://jobsbylevel.com/jobs/senior-ml-operations-engineer-ii-ads-platform-at-fetch-fe0327

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