Machine Learning Jobs in Oakland, CA

As a Senior Solutions Architect (AI/ML), you'll lead technical engagements, design scalable cloud solutions, and collaborate with key customers to solve complex challenges in cloud infrastructure and AI/ML.

Senior Research Scientists work on deriving probabilistic ML theory, scaling experimentation, implementing models, publishing findings, and creating production models. They collaborate with researchers and engineers and must become experts in various fields.

The Sr Machine Learning Engineer will build and scale ML infrastructure, implement MLOps, and collaborate with teams to optimize model performance and compliance.

The role involves designing and building scalable ML infrastructure, automating ML workflows, mentoring team members, and collaborating with various stakeholders to improve products.

As a Senior Machine Learning Engineer, you'll develop scalable models, conduct A/B testing, analyze data, and collaborate cross-functionally to integrate models into products, focusing on recommendations and personalization.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.

As a Machine Learning Engineer Intern at Moloco, you will work on state-of-the-art ML systems, participating as a full team member to conduct experiments, enhance data pipelines, and develop tools for model quality measurement.

Design and build backend systems for credit insights products, collaborating with various teams, and mentoring junior engineers.

Develop and optimize infrastructures for large-scale AI model training. Collaborate on end-to-end ML pipelines, ensuring efficiency and robustness.

The Senior Machine Learning Engineer will design and develop ML models for 3D assets, integrating AI into creator tools while collaborating with engineering and creative teams.

The role involves optimizing and deploying local large language models (LLMs), customizing ML models for real-world applications, and ensuring effective deployments in resource-constrained environments. You will work on AI systems that push the boundaries of technology and drive customer impact.

The role involves leading experiments to evaluate AI model performance, developing tools for rapid testing, and collaborating across teams to align model improvements with customer needs.

The Senior Machine Learning Engineer will develop NLP solutions, manage datasets, optimize performance metrics, and work on ML applications for healthcare.

Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.

Develop and maintain the ML training framework, build inference services, lead design and implementation of ML platform, and mentor junior engineers.

The role involves assisting customers with the setup and optimization of FLUX models, collaborating on solutions, and deep product integration.

As a Senior / Principal Inference Engineer, you'll build high-scale ML tooling for model inference, optimize performance, and collaborate across teams at Roblox.

As an Ecommerce Machine Learning Intern, be involved in developing and training machine learning models, collaborating effectively within teams, and applying insights for personalized recommendations.

The role involves developing and optimizing scalable AI/ML systems, collaborating across teams, and enhancing workflows to support drug discovery.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

Interns will conduct research in AI and machine learning, developing algorithms and collaborating with teams to enhance Adobe's digital experience offerings.

This internship involves enhancing Adobe Firefly's AI and generative technologies through research, collaboration, and integration of machine learning models.

As a Software Engineer in the ML Products team, you'll maintain and enhance systems for Twitch discovery, partner with applied scientists on ML model improvements, and collaborate with product managers for new experiences.

The Sr. ML Ops Engineer designs and maintains ML infrastructure, automates model production, collaborates with teams, and monitors model performance.

Lead the development of computer vision systems, owning the full ML lifecycle from data processing to deployment. Mentor engineers and innovate production-grade solutions for construction challenges.