Senior Machine Learning Engineer – Ad Platform

🔥 4 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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.

Apply Now

Find Similar Remote Jobs

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

• 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume