Machine Learning Jobs in Oakland, CA

The role involves designing and developing scalable AI/ML systems, evaluating model performance, and collaborating with various stakeholders to accelerate drug discovery.

The Staff Software Engineer will architect and implement backend systems for LLM applications in healthcare, focusing on APIs, data pipelines, and compliance.

The role involves developing production 3D perception systems, training models, managing data pipelines, and ensuring system safety and efficiency.

Develop and scale learning architectures for behavior cloning and reinforcement learning, build data pipelines, and deploy models in real environments.

Develop and optimize ML models for robotics, collaborate with vendors for data labeling, and evaluate model performance in the field.

Lead Knowledge Graph projects from design to deployment, integrating AI systems, and managing cross-functional teams while developing and optimizing graph databases.

As a Senior Software Engineer, you will design and implement ML infrastructure, ensure reliability and scalability of ML systems, and mentor peers.

The role entails optimizing model performance and developer experience through serverless inference platforms, distributed systems, and API development. Responsibilities include enhancing system robustness and scalability, partnering with product teams, and maintaining clean software and IaC.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

Lead the development of machine learning technologies within Ads Ranking, enhance user experience, and improve engineering systems in a collaborative environment.

Develop multimodal large language models for autonomous vehicles, optimizing performance and safety through advanced machine learning techniques and real-world data validation.

The role involves optimizing 3D rendering of sensor data using GenAI/ML, collaborating with teams to enhance sensor simulation realism, and ensuring high fidelity in synthetic data generation.

Develop advanced multimodal large language models for autonomous driving, optimize solutions using real-world scenarios, and collaborate with engineering teams.

Develop and train computer vision and multimodal models, design scalable AI frameworks, and improve systems through fine-tuning and reinforcement learning techniques while collaborating with multiple teams.

Lead the development of advanced recommendation systems and ML pipelines. Collaborate with cross-functional teams to enhance user engagement through optimization of machine learning models at scale.

The candidate will design and optimize APIs and systems for ML workflows, focusing on scalability, operational rigor, and innovative solutions.

The role involves building and improving systems for training AI models, focusing on algorithms and infrastructure for reinforcement learning. Responsibilities include enhancing performance, reliability, and usability of systems to support research.

The Machine Learning Engineer will collaborate with a cross-functional team to enhance class search and recommendations by developing and maintaining machine learning models, focusing on iterative improvements and mentorship.

Equilibrium Energy seeks motivated individuals for various roles including Software Engineering, Data Science, Energy Trading, and Product Management. Candidates are invited to submit resumes and cover letters for future openings.

The Technical Program Manager will lead complex application development, manage project timelines, assess risks, and ensure successful delivery of Anyscale's product solutions.

The Localization Manager will develop and execute scalable localization strategies, ensure quality translations, manage vendors, and collaborate across departments.

The role involves setting up machine learning models, creating data repositories, extracting geometric features, and optimizing geometries for quality improvements in print processes.

Lead development of generative AI platforms for U.S. government, ensuring ethical deployment and compliance, managing the full product lifecycle, and engaging stakeholders.

The role involves leading go-to-market strategies for product launches and driving engagement through cross-functional collaboration and data-driven decision making.

As Senior Product Manager, you'll lead the multi-cloud strategy and platform convergence for Verily Workbench, collaborating with engineering teams and influencing cross-organizational initiatives to enhance patient outcomes through AI integration and scalable research solutions.