Senior Staff Machine Learning Engineer, Data & Eval

🕒 Abril 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $244.000 - $305.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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Airbnb

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2007

✈️ Turismo

📦 Logística

🛍️ Comércio Eletrônico

💰 Post-IPO Equity em 2020-12

Travel • Logistics • eCommerce

O Airbnb é um marketplace online global que conecta pessoas em busca de hospedagem a anfitriões que oferecem opções de estadia únicas e diversas, muitas vezes em propriedades residenciais. Os usuários podem reservar espaços que vão de apartamentos de um quarto a casas inteiras e hotéis boutique. O Airbnb também oferece Experiências, permitindo que hóspedes reservem atividades oferecidas por moradores locais, proporcionando uma experiência de viagem autêntica.

Descrição

• In this Senior Staff role, you will set technical direction and lead execution for ML evaluation and the end-to-end data flywheel powering CSxAI products (e.g., assistive agents, issue resolution, and tooling). • Your work will define how we measure quality, how we turn feedback into learning signals, and how we continuously improve models and products safely and efficiently. • You will partner closely with product, engineering, design, operations to build evaluation systems that are trusted, scalable, and actionable - connecting offline metrics to online outcomes. • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases. • Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions. • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases. • Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

🎯 Requisitos

• Educational Background: PhD in Computer Science, Mathematics, Statistics, or related technical field (or equivalent practical experience). • Industry Experience: 10+ years building, testing, and shipping ML/AI systems end-to-end; including 2+ years of experience with GenAI/LLM systems in production. • Leadership Experience: 5+ years leading large, ambiguous technical initiatives as a senior IC, influencing roadmap and engineering/science direction across teams. • Technical Proficiency: • Deep expertise in evaluation methodology (offline/online alignment, metric design, human-in-the-loop evaluation, A/B testing, power analysis, regression testing). • Hands-on experience with GenAI systems, including orchestration, retrieval, tool calling, memory, etc. • Experience building data pipelines and quality systems (labeling workflows, dataset curation, versioning, monitoring, and governance). • Solid ML fundamentals and best practices (model selection, training/serving, monitoring, reliability, and model lifecycle management).

🏖️ Benefícios

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.