Machine Learning Jobs in Oakland, CA

The Global Head of Sanctions will lead Block's sanctions compliance program, manage escalations, regulatory reporting, and engaging with external agencies while developing and implementing sanctions policies.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

The Senior Product Manager will drive engagement and habit formation for DriveShield, a product aimed at improving driving safety and user interaction with driving behavior data through personalized insights and a better user experience.

Lead the development of AI platforms at Jerry.ai, managing technical integrations and improving customer experiences through innovative AI solutions and collaboration with engineering teams.

The Applied Scientist will drive research on efficient adaptive machine learning, deploy ML systems end-to-end, and contribute to product strategy, focusing on real-world impact and innovation.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

The Principal Software Engineer will lead the development of autonomous systems for satellites, overseeing architecture and capabilities while mentoring engineers. Responsibilities include guiding algorithms for satellite operations and ensuring software integration across mission elements.

As an ML research engineer, you will develop systems using language models, curate datasets, set evaluation metrics, and scale semantic search processes.

The Optical Engineer will assess and enhance optical capabilities, design new optical systems, and collaborate on instrumentation solutions while contributing to data analysis and open-source implementations.

Lead and manage machine-learning projects at Elicit, focusing on product vision, user research, and driving impacts for researchers. Collaborate with engineers and designers for successful feature implementation.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

This internship involves developing machine learning systems for 3D applications, collaborating closely with engineers and researchers, and contributing to AI and graphics R&D.

Senior Machine Learning Engineer role focusing on building and improving AI evaluation infrastructures, collaborating with a multidisciplinary team, and contributing to the development of a scalable evaluation platform.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

The CTO will lead Fathom's technical strategy, focusing on AI governance, building partnerships, defining standards, and advancing AI safety practices.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

The Solution Architect focuses on integrating and enhancing AI features within enterprise applications, driving operational excellence and hyperautomation across the organization.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

DiffUSE seeks individuals interested in interdisciplinary roles involving computational biology, machine learning, and open scientific tooling. Responsibilities include data processing, ML research, infrastructure engineering, and community building.

The Neuron Whisperer will establish and execute neuron culture methods, optimize protocols, collaborate with teams, and provide input on research design and workflows.

The Open Science Data Steward will manage research data lifecycle, ensure data quality, support integration with AI systems, and foster collaboration with researchers.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.