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Build and lead AI-powered internal platforms at Databricks, defining technical strategy and mentoring engineers to drive business growth.
Senior Software Engineer at Databricks building and scaling AI Runtime, a managed GPU training platform for large-scale AI model training and fine-tuning, using distributed systems and cloud infrastructure.
Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform specialized data warehouses.
Builds and optimizes Databricks' distributed data and AI infrastructure platform, focusing on storage and query engines, while mentoring engineers and driving long-term technical vision.
Builds and improves Databricks' full-stack data and AI platform, focusing on user experience, scalability, and distributed systems in Vancouver.
Designs and builds scalable, low-latency AI/ML model serving infrastructure for Databricks, focusing on real-time inference, autoscaling, and cross-team collaboration.
Senior ML engineer builds and deploys optimization models to tune Databricks’ distributed infrastructure, cutting cost and boosting performance across the stack from cluster scheduling to query execution.
Builds and scales Databricks' Lakehouse Platform backend services in Berlin, focusing on distributed systems, cloud storage integration, and high-performance data infrastructure.
Lead a team building and scaling Databricks' Identity and Access Management systems, ensuring secure, reliable authentication and authorization at cloud scale for the world's top data and AI platform.
Designs and builds autonomous data systems for Databricks' Managed Tables, optimizing storage and performance at massive scale using distributed systems and AI-driven tools.
Designs and builds reusable UI components and frontend architecture for Databricks' data and AI platform, using modern JavaScript frameworks and TypeScript.
Lead the technical vision and build the control plane for Lakebase, a managed Postgres layer that unifies operational data, analytics, and AI. Hands-on role in Go/Rust, PostgreSQL, and Kubernetes.
Build and lead the Spark Structured Streaming engine, designing state-of-the-art stream processing features and improving latency, throughput, and cost for Databricks’ data and AI platform.
Builds and optimizes distributed data storage and processing systems for Databricks' big data and AI platform, working on projects like Apache Spark, Delta Lake, and performance engineering.
Builds and maintains the backend infrastructure that lets AI researchers and engineers quickly set up, run, and debug training and serving environments on Databricks’ AI platform.
A senior data scientist at Databricks builds and deploys ML models to solve business problems like churn prediction and product analytics, using Python, Spark, and SQL while collaborating with engineering and product teams.
Designs and deploys ML models to detect fraud and abuse on Databricks’ data and AI platform, while collaborating with security and engineering teams to enforce compliance and protect customer data.
Design and build AI-powered systems to help Databricks customers resolve technical issues faster using LLMs and retrieval systems, operating at the intersection of product development and machine learning.
Builds and maintains Hiive’s marketing website and CMS, creating reusable components for self-service by marketers, integrating GraphQL APIs, and optimizing performance/SEO for campaigns.
A Product Manager II leads controlled substance data and reporting solutions for healthcare, pharmacies, and government agencies, using SQL, Tableau, and AI tools to analyze complex datasets and drive product strategy in a highly regulated environment.
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