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Llm Inference Jobs in New York

23 open positions · Updated 1 month ago

Average salary: 228.4k–325.1k/yr

Showing 20 of 23 positions

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Anthropic
Anthropic San Francisco, CA | New York City, NY | Seattle, WA $300k–$485k/yr Published 7 months ago
Datadog
Datadog Boston, Massachusetts, USA; New York, New York, USA $234k–$300k/yr Published 10 months ago
Anthropic

Join Anthropic as a Performance Engineer to optimize AI inference systems for throughput, latency, reliability, and correctness.

Anthropic San Francisco, CA | New York City, NY | Seattle, WA $350k–$850k/yr Published 1 week ago
Flexible on stack
Databricks
Databricks New York City, New York; San Francisco, California $190k–$270k/yr Published 1 month ago
Databricks

Develop and run the research stack that powers Databricks AI Research, enabling rapid large-scale experiments.

Databricks New York City, New York; San Francisco, California $199k–$270k/yr Published 2 weeks ago
Flexible on stack
Robinhood

Lead machine learning development for customer experience systems at Robinhood, impacting how customers interact with finance.

Robinhood Menlo Park, CA; New York, NY $158k–$185k/yr Published 2 weeks ago
Flexible on stack
AssemblyAI
AssemblyAI Remote - San Francisco OR New York $140k–$240k/yr Published 1 month ago
AssemblyAI
AssemblyAI Remote - San Francisco Bay Area OR New York $140k–$190k/yr Published 1 month ago
AssemblyAI

Own a book of AI-native startup accounts and drive revenue across AssemblyAI’s Voice AI infrastructure offerings.

AssemblyAI Remote - San Francisco OR New York $200k–$280k/yr Published 5 days ago
AssemblyAI
AssemblyAI Remote - San Francisco OR New York $300k–$370k/yr Published 1 month ago
Google DeepMind
Google DeepMind London, UK; New York City, New York, US; San Francisco, California, US $136k–$245k/yr Published 5 months ago
Figma
Figma New York, NY • United States; San Francisco, CA • New York, NY $170k–$178k/yr Published 1 month ago
Anthropic
Anthropic San Francisco, CA | New York City, NY | Seattle, WA $405k–$485k/yr Published 1 month ago
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