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Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform traditional data warehouses.
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.
A senior engineer leads the architecture and development of user onboarding and activation flows for a cloud-based data platform, guiding a team to improve customer adoption and growth.
Build and evolve Databricks’ core authorization service, migrating permission checks to a unified model and adding fine-grained access controls for users, apps, and workloads.
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.
Builds and deploys data science models and tooling to drive strategic decisions and improve Databricks' internal data infrastructure using Python, SQL, and Spark at massive scale.
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.
Designs, builds, and maintains scalable backend services for a large-scale data and AI platform, using Java/Scala, cloud technologies, and distributed systems.
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.
Leads the technical vision for Databricks' search ranking, relevance, and evaluation systems, blending keyword, vector, and hybrid retrieval to improve enterprise AI applications.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the…
Staff Engineer acting as the CTO's technical right-hand in a scale-up, hands-on with Python, Terraform, and Cloud, focused on data pipeline architecture, performance, technical standards, and technical debt reduction without direct management.
Build and scale AI voice agents handling millions of real-time customer calls for major brands, using Python, AWS, and Twilio to orchestrate complex workflows and low-latency inference.
Designs and owns the data architecture for integrations and AI pipelines in a hospitality tech company, unifying data models and guiding engineering teams.
Leads the design and evolution of MoonPay’s data platform, ensuring analytics, product insights, ML, and integrations scale reliably in a regulated fintech environment. Balances technical direction with hands-on implementation.
Senior and Staff Full-Stack Engineers are needed to build and scale HealthTech products, focusing on end-to-end feature development, API design, and performance improvements. The role requires a strong product mindset and the ability to work collaboratively across engineering, design, and product teams.
Builds and scales healthcare tech products, designing APIs, improving system performance, and integrating AI into workflows with high ownership and autonomy.
Lead the design and evolution of MoonPay’s data platform, building scalable pipelines, governance, and ML enablement while partnering with engineering and compliance teams.
Builds and scales backend systems for a video-first property discovery app, focusing on APIs, real-time features, and architecture as the startup launches in London.
Leads architecture for a modern frontend (React/Redux, TypeScript) and integrates with native Q-SYS via C++/C# while expanding VisionSuite into the cloud.
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