P-1502
At Databricks, we are passionate about enabling data 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.
As a Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open-source projects and advance AIOps capabilities in the industry.
The impact you'll have:- Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents
- Design and implement platform integrations with various frameworks in the AI/ML ecosystem
- Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps.
- Ensure the latest AI/ML tooling advancements are available to Databricks’ customers, thereby enabling organizations around the world to get more value from their data.
- Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review.
- BS (or higher) in Computer Science, or a related field
- 3+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java.
- Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment.
- Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring.
- [Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects.
- [Preferred] Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
