Staff Machine Learning Engineer

🔥 5 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 technical lead for a single ML-focused team • Set team direction and raise engineering quality and system design standards • Design, build, and scale ML systems for personalization, ranking, search, or advertising 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 make 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 • 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

🏖️ 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 pet coverage • $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 with fully remote work from anywhere in the US for US-based roles • Hardware and software provided for home working

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