Llms Private Jobs in San Francisco, CA

Requirements • Hands-on LLM fine-tuning and post-training, with strong Python and PyTorch or JAX and practical distributed-training experience.

The role plays a central part in defining Knowtex's long-term LLM strategy.

A familiarity with text-based Generative AI and LLM is definitely handy, but moreso than that you understand that LLM’s are working off of datasets

Our mission is to provide world-class security features to users so their private data remains private, even from OpenAI.

• Work with the LLM researcher and harness engineer to bring structured observations and model responses into robots and products.

Maintain shared libraries and guardrails that make the private path the default, and fix them when they break or fall out of date.

LLM-as-judge on every event is easy.

have: Experience with knowledge graphs or entity resolution at scale Experience building memory systems or context management for LLM

The Company You’ll Join Carta is the connected platform and AI-native ecosystem for private capital.

Preferred qualifications — we encourage you to apply if you meet some but not all of these: Experience securing AI‑powered products or working with ML/LLM

Design & develop next-gen multimodal LLM architectures (LLMs, speech, vision, reinforcement learning)

Familiarity with LLM-powered products, evals, or agentic assistants.

27018, CSA STAR, or international schemes (for example IRAP, ISMAP or C5) Have automated evidence collection or audit reporting, or use Claude or other LLMs