Ml Research Engineer Foundation Models Senior Staff Principal Jobs in San Francisco, CA

Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.

We are hiring a Product Lead to partner with ML Science on Abridge's foundation-model and post-training work.

Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid

Just as importantly, you’ll make the foundational calls that every future model and ML engineer will build on: build versus buy, serving architecture, feature

The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities.

enterprise and government requirements into robust ML capabilities Set AI/ML technical direction, mentor senior and staff-track engineers and scientists

As a Senior Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving.

customer-facing Researchers and Applied AI Engineers.

cleanly separated into “research” or “engineering.”

What you’ll do We are seeking a foundational Staff Machine Learning Infrastructure Engineer to design and build the large-scale

We are looking for a Staff/Principal Engineer – Core Team.

As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across

As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL

Role Summary As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of

The Role We're seeking a Senior Backend Engineer to join our growing team in San Francisco.