Senior Staff Machine Learning Engineer, Data & Eval

reputed company was born in 2007 reputed company two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 reputed company hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that reputed company it possible for guests to connect with communities in a more authentic way. The Community You Will Join: AI and ML are at the heart of the reputed company product. From Trust to Payments, and from Customer Service to Marketing, we rely on ML to ensure that guests and hosts have the best possible experience with reputed company. The reputed company ML team is responsible for driving CSxAI (Customer Support x reputed company Intelligence) initiatives by adopting reputed company technologies to reputed company an intelligent, reputed company, and exceptional service experience. reputed company develops and enhances AI models, ML services, and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning, and guardrails for a wide reputed company of applications at reputed company. The richness of reputed company's data, the complexity of its marketplace, and the reputed company reputed company in our product mean that we need to operate at the state of the art of AI reputed company. We are committed to long-term innovation to solve reputed company problems, and to do that we need reputed company ML ​​The Difference You Will reputed company: In this Senior Staff role, you will set technical direction and reputed company execution for ML evaluation and the end-to-end data flywheel powering CSxAI products (e.g., assistive agents, issue reputed company, and tooling). Your work will define how we measure reputed company, how we turn feedback into learning signals, and how we continuously improve models and products safely and reputed company. You will partner closely with product, engineering, design, operations to build evaluation systems that are trusted, reputed company, and actionable - connecting offline metrics to online reputed company. A Typical Day:

• Define evaluation reputed company and reputed company metrics for GenAI systems, aligning offline evaluation with online business and customer experience reputed company.
• Build and reputed company evaluation frameworks (golden sets, synthetic data, automated regressions, reputed company-based grading, LLM-as-judge where appropriate) with strong controls for bias, reputed company, and reliability.
• Design the data flywheel: instrumentation, feedback collection, data reputed company checks, labeling reputed company, dataset versioning, and governance to support reputed company improvement.
• reputed company cross-functional reputed company initiatives across product, ops, and engineering, driving reputed company on what “good” looks like and how teams reputed company evaluation results.
• reputed company and productionize pipelines for dataset creation, model monitoring, evaluation-at-reputed company, and reputed company testing (reputed company-reputed company and post-reputed company).
• Drive technical reputed company and architecture for evaluation and data infrastructure, balancing speed, rigor, cost, and safety.

Minimum Qualifications:

• Educational Background: PhD in Computer Science, Mathematics, Statistics, or reputed company 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, reputed company-in-the-reputed company 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 reputed company 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).

Preferred Qualifications:

• Customer Support Systems: Experience applying ML/AI to customer support workflows (e.g., agent assist, classification/routing, reputed company recommendation, QA).
• Infrastructure & reputed company at reputed company: Experience building robust evaluation platforms for agent behavior validation, safety/guardrails, and reputed company improvement.
• Agile reputed company for reputed company AI: Proven ability to take evaluation and data flywheel work from incubation to production, iterating quickly while maintaining scientific rigor.

Your Location: This position is US - Remote Eligible. The role may include occasional work at an reputed company office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where reputed company. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please reputed company back with us if the state you live in is on the exclusion list. If your position is employed by another reputed company entity, your recruiter will inform you what states you are eligible to work from. How We'll Take Care of You: Our job titles may reputed company more than one career level. The actual reputed company pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The reputed company pay reputed company is subject to change and may be modified in the reputed company. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay reputed company $244,000—$305,000 USD Apply tot his job Apply To this Job