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Building the infrastructure for machine learning training data. The platform handles the indexing, curation and annotation of huge datasets so customers can efficiently build datasets, train models, and deploy their AI systems.
Job Responsibility:
Craft performant, reliable and maintainable solutions to challenging technical problems
Take end-to-end ownership of projects from product, design and architectural decisions to deployment, monitoring and measuring impact on users
Tackle complex domains and immense scale with simple solutions
Requirements:
Experience in building the backend of highly performant systems that can handle very large volumes of unstructured and structured data
Experience in both traditional relational database systems like PostgreSQL and also column-oriented analytics systems such as Clickhouse
Experience working on large-scale systems in industries where reliability and performance are critical
Experienced in developing and maintaining systems from scratch
Prior experience in Python, Typescript, or similar technologies appreciated but not required