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NEXTMOVEFDE careers · United States
Fetch

Senior Machine Learning Engineer II

AI summary of the role

Senior ML Engineer on Fetch's Ad Ranking team, building ranking, relevance, and optimization models that drive ad selection and delivery at scale.

What you’ll do

  • Design, build, and improve ML models for ad ranking, relevance, and optimization
  • Implement active learning strategies including data sampling, error-driven retraining, and human-in-the-loop workflows
  • Leverage LLMs for synthetic data generation, assisted labeling, weak supervision, and error analysis
  • Own ML experimentation, offline/online evaluation, and production inference for ad ranking components

What you’ll bring

  • 6+ years software engineering experience with production ML or data-driven systems
  • Strong Python proficiency, working knowledge of Go, and experience deploying low-latency models
  • Experience with AWS and distributed systems for training pipelines and online inference
  • Practical experience applying LLMs to reduce model development and labeling effort

Technologies

Python · Go · AWS · LLMs · ChatGPT · Claude · GitHub Copilot · AWS Bedrock · LangChain · vector databases

Source and classification

Internal deployment & tooling · Evidence for this classification:

responsible use. Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows. About the Role: We are seeking a Senior Machine Learning Engineer II to join Fetch’s Ad Ranking team. This role sits at the intersection of applied machine learning, data engineering, and production systems, with a focus on building and improving ranking, relevance, and optimization models that drive ad selection and delivery at scale. You will partner closely with product, data, and platform teams to develop ML-driven decisioning systems, including feature pipelines, model training and evaluation workflows, and low-latency serving infrastructure. This is a
More from the job 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, adapta [... source excerpt omitted ...] disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact. Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use. Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely wi [... source excerpt omitted ...] Role: We are seeking a Senior Machine Learning Engineer II to join Fetch’s Ad Ranking team. This role sits at the intersection of applied machine learning, data engineering, and production systems, with a focus on building and improving ranking, relevance, and optimization models that drive ad selection and delivery at scale. You will partner closely with product, data, and platform teams to develop ML-driven decisioning systems, including feature pipelines, model training and evaluation workflows, and low-latency serving infrastructure. This is a high-impact opportunity to influence how ads are ranked and personalized across the Fetch experience, improving advertiser performance

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