Reddit Applied AI
Senior Staff Machine Learning Engineer, Ads Ranking
- Location Remote - United States
- Compensation Salary
- Seniority staff
- Posted 2026-09-15
Original posting ↗ You apply on the company site — we never collect applications.
Extracted automatically from public job postings. Always verify details on the original posting before applying.
role details
Develop and improve machine learning models and workflows using AI-assisted development systems.
Summary generated by AI from the original posting.
Hard requirements to check first
- Clearance:not mentioned in the posting
- Work auth:not mentioned in the posting
Skills
PythonEvalsAgentsClaudeCursorMachine LearningData AnalysisModel EvaluationHyperparameter OptimizationAgentic AI
Excerpt from the original posting
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the Role: We are seeking a Senior Staff Machine Learning Engineer to define and accelerate how we leverage agentic AI to transform machine learning models and modeling workflows. This high-impact role focuses directly on modeling leverage —enhancing model quality and velocity—rather than building general infrastructure. As a senior staff engineer, you will operate as a technical leader across the entire modeling loop, utilizing modern AI-assisted development systems (such as Claude, Cursor, and comparable tools) to make model development faster, more rigorous, and significantly more effective across the organization. Why Join Us? This role offers a domain-flexible platform to redefine how ML engineering is done. If you are passionate about combining deep ML fundamentals with the vanguard of agentic AI to multiply team impact, we’d love to talk to you. What you’ll do: - Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them. - Use tools such as Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments. - Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts. - Design evaluation harnesses that measure both model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, and latency. - Partner with product, data science, ML infrastructure, and engineering teams to connect modeling improvements to user and business outcomes. - Set technical direction across teams, mentor engineers, and raise the bar for modeling rigor and AI-assisted engineering. Required Qualifications: - 9+ years of experience in ML engineering, applied ML, or a related field, with substantial production impact. - Senior Staff-level technical leadership and a record of in…