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TigerGraph

Databases

TigerGraph is a scalable graph database and analytics platform designed to store and query highly connected data, such as social networks, fraud detection patterns, or recommendation systems. Data engineers and scientists use it to run complex, multi-hop queries and graph algorithms at scale using its query language, GSQL. It is used in industries requiring real-time relationship analysis, including finance, healthcare, and telecommunications.

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Open roles requiring TigerGraph (2)

Staff Machine Learning Systems Engineer

Reddit

Full-time · Remote - United States · $230,000 – $322,000

Reddit seeks a Staff ML Systems Engineer to design and build the infrastructure that powers their recommendation and content discovery systems at massive scale. You'll architect MLOps platforms, optimize distributed training pipelines, and work with graph structures containing billions of nodes while collaborating with ML teams across the company.

Listed on Reddit’s careers site · Apply there ↗

Senior Machine Learning Systems Engineer

Reddit

Remote - United States · $216,700 – $303,400

Reddit seeks a senior engineer to design and build the infrastructure platforms that enable the company's machine learning teams to train, optimize, and deploy recommendation and content discovery models at scale. This role suits experienced ML infrastructure engineers who enjoy solving complex systems problems in distributed computing environments and collaborating closely with model development teams.

Listed on Reddit’s careers site · Apply there ↗

Roles that use TigerGraph

Related skills

Curated neighbors in the taxonomy, whether or not employers ask for them together.

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