数据工程师
Data Engineer
ABOUT BASETEN
Baseten 为全球最具活力的 AI 公司提供关键任务推理，例如 Cursor、Notion、OpenEvidence、Abridge、Clay、Gamma 和 Writer。通过结合应用 AI 研究、灵活的基础架构和无缝的开发者工具，我们使处于 AI 前沿的公司能够将前沿模型投入生产。我们正在快速成长，并最近完成了 1.5 亿美元的 F 轮融资 https://www.baseten.co/blog/announcing-our-series-f/，由 Altimeter Capital、Conviction Partners 和 Spark Capital 领投。加入我们，帮助构建工程师用于交付 AI 产品的平台。
THE ROLE
我们正在招聘一名数据工程师，负责构建和扩展 Baseten 的内部数据平台。该职位位于数据工程、分析和数据科学的交汇点，将原始产品和业务数据转化为可靠的数据集，以支持决策。
你将设计数据模型、管道和分析基础设施，使产品、工程、财务、市场和销售团队能够了解使用情况和性能。这包括处理 AI 推理、基础设施和可观测性数据，以生成关于产品、业务运营和平台经济的洞察。
你将与利益相关者紧密合作，构建稳健、可扩展的管道，并定义影响战略和规划的公司级指标。
RESPONSIBILITIES
- 设计和维护核心数据模型和语义层
- 使用 Apache Beam、Kafka、Airflow 或类似框架开发和编排批处理和流数据管道
- 分析推理和基础设施遥测数据，包括来自 OpenTelemetry、Grafana 和其他可观测性工具的数据
- 定义和维护跨产品使用、性能和客户生命周期的公司级指标
- 通过代理和工具实现自助分析，提供结构良好的语义层和上下文
- 通过测试、文档和治理确保数据的可靠性与质量
PREFERRED QUALIFICATIONS
- 理解推理指标，如延迟、吞吐量、令牌使用和模型性能
- 具有支持 B2B SaaS 和/或按使用付费平台的经验
- 将预测建模（如 ARIMA、Prophet）应用于业务流程
BENEFITS
- 竞争性薪酬，包括有意义的股权
- （仅限美国）为员工及其家属提供 100% 的医疗、牙科和视力保险 coverage
查看英文原文
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making.
You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics.
You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning.
RESPONSIBILITIES
- Design and maintain core data models and semantic layers
- Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks
- Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools
- Define and maintain company-wide metrics across product usage, performance, and customer lifecycle
- Enable self-service analytics through agents and tools, with well-structured semantic layers and context
- Ensure data reliability and quality through testing, documentation, and governance
PREFERRED QUALIFICATIONS
- Understanding of inference metrics such as latency, throughput, token usage, and model performance
- Experience supporting B2B SaaS and/or consumption-based platforms
- Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).