Senior Staff Machine Learning Engineer, Ads Ranking

Reddit·Remote - United StatesRemotesenior

In short

→Desarrollar modelos de ML avanzados y flujos de trabajo autónomos con IA agente para acelerar la innovación.
→Usar herramientas como Claude y Cursor para investigar comportamientos, automatizar análisis y mejorar experimentos.
→Liderar técnicamente el desarrollo de modelos en Reddit, impactando directamente la calidad y velocidad de las recomendaciones en anuncios.

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What they ask for

✓9+ años de experiencia en ingeniería de ML o campo relacionado.
✓Liderazgo técnico de nivel Senior Staff con impacto en múltiples equipos.
✓Fundamentos sólidos en modelado, evaluación, optimización y experimentación.
✓Ejemplos concretos de uso de IA agente o herramientas de codificación con IA para mejorar resultados ML.
✓Capacidad de diseñar evaluaciones y controles para flujos autónomos confiables.
✓Dominio de Python y marcos modernos de ML y herramientas de datos.

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ClaudeCursorPythonML frameworksdata toolingagentic AImodeling workflowsevaluation harnesseshyperparameter optimizationerror analysis

Who should you write to at Reddit?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 influencing direction across teams. • Deep modeling expertise and strong fundamentals in data, objectives, architectures, optimization, evaluation, and experimentation. • Concrete examples of using agentic AI or AI coding tools to produce better ML outcomes—not just faster code generation. • Ability to design guardrails and evaluations that make autonomous or semi-autonomous workflows trustworthy. • Strong coding ability in Python and fluency with modern ML frameworks and data tooling.

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