云平台工程师
Cloud Platform Engineer
关于Baseten
Baseten为全球最具活力的AI公司提供关键的推理支持，包括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前沿的公司能够将最先进的模型投入生产。我们正在快速成长，并最近完成了15亿美元的F轮融资，由Altimeter Capital、Conviction Partners和Spark Capital领投。加入我们，帮助打造工程师们用来交付AI产品的平台。
职位描述
作为云平台工程师，你将设想并构建确保我们基础架构可扩展、可靠且高效的系统和流程。这可能包括自动化部署和监控系统、优化性能以及管理事件。
我们与用户紧密合作，从他们过去在实现ML中的挣扎中学习，帮助他们上手我们的平台，并将这些经验转化为改进Baseten的想法。
示例项目
你将作为基础设施团队的一员参与以下类型的项目：
- 多云容量管理 https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/
- B200 GPU上的推理 https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/
- 多节点推理 https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/
- 分享H100 GPU以实现高效的模型服务 https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/
职责
- 构建和维护可扩展的基础架构，以支持机器学习模型的部署和运行。
- 建立跨基础架构的可靠性与性能标准和最佳实践。
- 在适当的时候自动化流程，特别是管理CI/CD流水线。
- 全程负责产品和项目，同时担任工程师和项目经理的角色，注重用户共情、项目规范和端到端执行。
- 与跨职能团队协作，理解项目需求并将其转化为技术解决方案。
- 指导初级团队成员，并为组织内的知识共享做出贡献。
- 在模糊的情况下进行导航，对权衡和所需工具做出良好判断，避免不必要的复杂性
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
As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents.
We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
- Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/
- Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/
- Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/
- Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/
RESPONSIBILITIES
- Build and maintain scalable infrastructure to support the deployment and operation of machine learning models.
- Establish standards and best practices for reliability and performance across the infrastructure.
- Automate processes when relevant, particularly for managing CI/CD pipelines.
- Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.
- Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
- Mentor junior team members and contribute to knowledge sharing within the organization.
- Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
- Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- Extensive experience with Kubernetes.
- Experience in building and maintaining scalable infrastructure.
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins).
- Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus.
- Ability to own projects end-to-end, from project specification to execution.
- No prior machine learning experience required, but should be open to learning about it.
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).