Staff Machine Learning Engineer – Ad Platform

🔥 10 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 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

• Serve as technical lead for an ML-focused team, setting direction and raising engineering and system-design quality • Design, build, and scale ML systems for personalization, ranking, search, or advertising use cases • Own end-to-end architecture covering model training, evaluation, deployment, and serving • Translate product needs into scalable technical solutions in ambiguous problem spaces • Lead design reviews and make tradeoffs involving latency, reliability, experimentation, and maintainability • Partner with product, data, and engineering stakeholders to deliver measurable business impact • Mentor engineers through hands-on technical guidance, feedback, and example • Use LLM tools for prototyping, code iteration, experimentation, architecture diagramming, design validation, and appropriate LLM-powered features

🎯 Requirements

• 12+ years of industry experience in machine learning or software engineering • Demonstrated ownership of production ML systems operating at scale • 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 • Experience deploying ML models into production and operating them at consumer scale • Ownership of complex technical initiatives within a team • Strong systems design skills and ability to articulate tradeoffs and implementation decisions • Experience mentoring engineers and influencing technical standards • Ability to operate effectively in ambiguous environments and drive projects to completion • Bachelor’s degree in Computer Science, Engineering, or a related technical field • Familiarity with LLMs and their application in personalization, feature generation, or search • Experience with real-time or streaming ML systems • Exposure to experimentation frameworks (A/B testing) and model performance measurement • Experience bridging model development with real-time serving systems • Appropriate work authorization for the United States or Canada, as applicable

🏖️ Benefits

• Equity: full-time employees receive equity in Fetch • 401(k) matching dollar for dollar, up to 4% of eligible pay • Comprehensive medical, dental, and vision plans, including coverage for pets • $10,000 per year in education reimbursement • Employee Resource Groups and Inclusion Council participation • Flexible PTO • 9 paid holidays and a year-end week-long break (holidays vary for Canada-based roles) • 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 hardware/software equipment for home working, where applicable

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