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Principal Machine Learning Engineer, Foundation Models
Principal ML Engineer builds next-gen foundation models from petabyte-scale telematics data to assess driver risk, detect crashes, and improve road safety using transformers and self-supervised learning.
Associate Linux Support Engineer
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as…
Dedicated Linux Desktop & Devices Support Engineer, Singapore
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as…




Senior Software Engineer, AI Runtime
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.




Senior Software Engineer - Fullstack
Builds and maintains full-stack web applications for a GenAI observability product, using modern JavaScript frameworks, cloud technologies, and scalable backend systems.




Senior Staff Applied AI Engineer - Context Retrieval
Senior Staff Applied AI Engineer at Databricks builds and owns the retrieval stack and search subagents for AI agents, enabling context retrieval across enterprise SaaS data using IR, RAG, and agentic systems.




Staff Machine Learning Engineer
Designs and deploys GenAI models and systems for Databricks’ AI-powered products like Assistant and AI/BI Genie, focusing on LLM quality and scalable ML pipelines.




Staff Software Engineer, AI Runtime
Build and scale Databricks' managed GPU training platform (AI Runtime), designing systems for large-scale AI model training, fault tolerance, and developer experience.

Senior Backend Engineer
Senior Backend Engineer at HackerRank architecting and scaling core backend services using Python/Ruby/Go/Java/Node.js, PostgreSQL/MySQL, Redis, Kafka, and Docker/Kubernetes, with strong emphasis on AI-augmented development practices.


