Machine Learning Jobs in Oakland, CA

The Senior Machine Learning Engineer will develop ML infrastructure, deploy ML models, monitor performance, and mentor junior engineers. Collaboration with cross-functional teams is essential.

The Machine Learning Engineer will develop models to detect harmful behaviors in AI systems, enhance detection systems, and analyze user reports proactively.

The role involves optimizing and productionizing GPU model inference pipelines, building scalable frameworks for Liquid's AI models, and addressing performance issues in multi-GPU settings.

This internship requires pursuing a degree in relevant fields and strong knowledge of machine learning concepts and programming skills in languages like Python, R, or Julia.

The Machine Learning Engineer will build production-grade NLP models for data privacy, manage the ML lifecycle, and collaborate across teams.

As an ML Scientist at Wispr, you'll develop advanced voice interfaces, focusing on ML personalization and enhancing speech models using fine-tuning and reinforcement learning techniques.

The ML Engineer will develop voice interfaces, handle ML inference architecture, and enhance speech models for user personalization. Responsibilities include prototyping features and optimizing systems for high-volume requests.

Design and implement RL and IL systems for robotic food manipulation. Develop algorithms for adaptive multi-agent coordination and integrate prototypes into production for commercial deployment.

As a Machine Learning Engineer, you will deploy models to production, manage data pipelines, and collaborate with partners, focusing on MLOps best practices.