Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started
Задачи
Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly
Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform
Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc
Interact with turnkey customers and product managers to envision new features and identify areas for improvement
Shape how developers and data scientists build and interact with AI on Databricks
As part of the ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments
You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases
Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations
We’re building the infrastructure that powers the next generation of AI
Требования
5+ years of experience in backend or infrastructure engineering with a focus on building systems
Strong programming skills in Python, Scala or Java
Experience with distributed systems, scalable APIs, or cloud-native infrastructure
Familiarity with service-oriented architecture, deployment pipelines, and system observability
Strong product and ownership mindset — you care about building the right solution, not just any solution
Strong understanding of dependency management technologies including virtual environments or containerization technologies
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
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greenhouseОсновная публикация · 2025-10-29
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Databricks
50 активных вакансий · вилка работодателя указана в 21%