Machine Learning Engineer Llm Interpretability Systems Jobs in San Francisco, CA

CTGT’s Senior Machine Learning Engineer will operate deep within the model stack, working directly with weights, activations, and architectures to build

…Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal

…mission is to create reliable, interpretable, and steerable AI systems.

…7+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar

We’re hiring founding software engineers to help us continue to serve our customers as we build the ingestion layer that connects human data with LLMs.

, and platform engineers Required Qualifications 4+ years of experience in machine learning research or ML engineering

Significant performance engineering experience; ex. Bottleneck analysis in high-scale server systems or profiling low-level systems code.

Enough familiarity with machine learning systems to deploy, serve, and debug models in production. You do not need to be an ML researcher.

…Looking For 2-8 years of machine learning engineering experience in high-velocity, high-growth companies.

…of what is possible with machine learning, art, and games.

…years of hands-on experience building machine learning systems.

We're hiring a machine learning engineer to build the loop from agent behavior to training data, from training data to better models, and from better models

You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs