Senior Machine Learning Engineer

🔥 2 hours ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 CA$214.5k - CA$252.4k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Fetch Rewards

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

🍽️ Food & Beverage

📦 Logistics

💰 Debt Financing on 2022-04

Consulting • Food & Beverage • Logistics

Fetch Rewards is a company that operates America's Rewards App, leveraging the power of Fetch Points to drive consumer behavior and engagement across various industries, including Consumer Packaged Goods (CPG), retail, and restaurants. By offering custom-fit marketing solutions, Fetch helps brands increase sales, improve retention, and build lifelong consumer loyalty without relying on discounts. The platform offers dynamic in-app offers based on verified shopping behavior, designed to inspire specific business outcomes and increase customer engagement. Fetch Rewards partners with major brands and retailers, providing a robust data-driven approach to enhance buying frequency and customer retention.

📋 Description

• Serve as the technical lead for a single ML-focused team, setting direction and raising the bar on engineering quality and system design. • Design, build, and scale ML systems supporting personalization, ranking, search, or ad-related use cases. • Own end-to-end architecture for team services, including model training, evaluation, deployment, and serving. • Translate product needs into scalable technical solutions in ambiguous problem spaces. • Lead design reviews and manage tradeoffs around 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. • Prototype and validate ideas with LLM tools. • Leverage AI for code iteration and experimentation. • Use AI assistants for architecture diagramming and design validation. • Explore LLM-powered features where appropriate.

🎯 Requirements

• 6+ years of industry experience in machine learning or software engineering, with demonstrated ownership of production ML systems operating at scale. • Proven 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. • Demonstrated ownership of complex technical initiatives within a team. • Strong systems design skills with the ability to clearly articulate tradeoffs and implementation decisions. • Experience mentoring engineers and influencing technical standards within a team. • 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: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth. • 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay. • Benefits for humans and pets: We offer comprehensive medical, dental, and vision plans for everyone, including your pets. • Continuing Education: Fetch provides ten thousand per year in education reimbursement. • Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. • Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. (Holidays will vary for Canada-based roles) • Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, and a flexible return-to-work schedule. • Calvin Care Cash: Employees who are welcoming new family members will also receive a one-time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers, and much more! • Flexible Work Environment: Remote work and office collaboration options; hardware and software provided for home working where applicable.

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