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 to ship AI products.
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.
You'll get to work on these types of projects as part of our Infrastructure team:
Задачи
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
Требования
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
Условия
Competitive compensation, including meaningful equity
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
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)
Паспорт вакансии
История публикации
Появилась в Вакандии29 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 29 дней назад
Среди похожихНет данныху карточки не хватает полей, чтобы найти похожие
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
Грейдне указан
Формат работыГибрид
ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата≈ 13 333 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки753 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
ashbyОсновная публикация · 2025-10-09
B
Работодатель
BaseTen
47 активных вакансий · вилка работодателя указана в 0%