Senior Machine Learning Engineer – Ad Platform

🔥 42 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

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Fetch

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

👥 B2C

📣 Marketing

🔥 Funding within the last year

💰 Later Stage VC on 2026-05

B2C • Marketing

Fetch is a consumer mobile rewards app that lets users scan receipts to earn points that can be redeemed for gift cards and other rewards. The app awards points for everyday purchases (groceries, fuel, meals, games, etc. ), offers in-app games and promotions, and provides a business-facing offering (Fetch for Business) and browser extension. Fetch reports millions of monthly earners, millions of app reviews, and over $1B in rewards redeemed. The service emphasizes easy receipt scanning, point accumulation, and low-effort rewards for shoppers.

📋 Description

• Design, build, and improve machine learning 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 ranking error analysis • Own ML experimentation, offline and online evaluation, and production inference for ad ranking components • Partner with product, data, and platform teams to translate advertiser and user experience gaps into measurable ML improvements • Maintain model performance, reliability, latency, and data quality in production ranking systems • Use AI-assisted tools for development, experimentation, debugging, and analysis • Design features and validate ideas with ChatGPT and Claude sandboxes • Leverage AI for code generation and technical prototyping • Use AI assistants for systems architecture diagramming and design validation

🎯 Requirements

• 8+ years of software engineering experience building and maintaining production ML or data-driven systems • Strong proficiency in Python for machine learning and data processing • Working knowledge of Go • Hands-on experience deploying low-latency models into production ranking or decisioning systems • Experience with AWS and distributed systems • Experience building or operating scalable training pipelines and online inference services • Experience applying LLMs to reduce model development and data labeling effort, including assisted labeling, synthetic data generation, weak supervision, or model error analysis • Strong engineering judgment and systems mindset • Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, or similar • Ability to evaluate AI-generated outputs, debug complex issues, and validate correctness in production ML workflows • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience is preferred • Familiarity with AWS Bedrock, LangChain, vector databases, or similar orchestration technologies • Experience building and operating LLM workflows, including prompt-driven systems and model-assisted pipelines • Familiarity with high-throughput or low-latency ML decisioning environments • Experience with applied machine learning for relevance, ranking, or personalization • Experience working in small, fast-moving, cross-functional teams

🏖️ Benefits

• Equity for full-time employees • 401(k) with dollar-for-dollar matching up to 4% of eligible pay • Comprehensive medical, dental, and vision plans, including pets • $10,000 per year in education reimbursement • Employee Resource Groups and Inclusion Council participation • Flexible PTO • 9 paid holidays • Year-end week-long break • 14 weeks of fully paid parental leave • 6 additional weeks of paid childbirth recovery leave for birthing parents • Flexible return-to-work schedule • One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members • Flexible work environment and fully remote work from anywhere in the US for US-based roles • Hardware and software provided for remote work

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