Artificial Intelligence Jobs in Oakland, CA

The Lead/Senior Software Engineer will architect and develop scalable AI tools, collaborate across teams, mentor juniors, and drive innovation in AI applications.

As a Frontend Senior Software Engineer, you'll develop and implement features for Adobe's AI-focused applications, ensuring code quality while collaborating across teams.

The Account Executive will manage relationships with high-growth AI startups, engaging with founders and engineers, to facilitate platform adoption and scalability.

As an AI Prompt Engineer, you will design workflows, act as a bridge between teams, and enhance the multi-agent platform while ensuring reliability in critical environments.

As an AI Forward Deployed Engineer, you'll design AI workflows, act as a customer technical bridge, and optimize deployment performance. You'll thrive in a fast-paced, early-stage environment, shaping tools and documentation while ensuring system reliability.

Lead the design and delivery of user-facing AI features in Protegrity's products. Validate new features through market research, ensure compliance with security standards, and enhance user satisfaction.

Lead the development of AI-powered applications for homeowners and energy providers, focusing on enhancing user experiences and trust through proactive insights and interactions.

The Senior Director of Applied AI Engineering will lead AI application development in drug development, focusing on generative AI and ML integration across departments.

The Technical Lead will drive the design and delivery of customer-centric digital experiences, integrate advanced technologies, and foster collaboration among teams.

The Senior Integrations Engineer will design and build enterprise integrations and optimize automation frameworks, focusing on AI strategies and cross-functional collaboration.

As an AI Research Scientist, you will develop ML models, lead research projects, review AI literature, and explore new data sources.

Develop infrastructure and tools to enhance Generative AI technologies, collaborate with cross-functional teams, and mentor junior team members.

The role involves research on training models for web indexing. You'll apply your deep knowledge of search and transformer models in a product context.

Develop intelligent AI-driven services and features for a software platform, focusing on internal development acceleration and user experience enhancements.

The Software Engineer will build core products, collaborate with teams, design reliable features, and optimise GPU workloads using Kubernetes and cloud tech.

Design and optimize AI conversational experiences, conduct research, prototype interaction patterns, and collaborate with engineering and product teams to enhance human-AI collaboration.

Develop and refine advanced document AI models, tackle complex modeling challenges, lead LLM fine-tuning, and foster collaboration among teams to deliver impactful solutions.

The Staff Machine Learning Engineer will develop advanced Document AI models, solve complex modeling challenges, lead LLM fine-tuning, and provide leadership in a collaborative environment.

Develop and train advanced generative models for synthetic data generation to enhance Zoox's autonomous driving capabilities. Collaborate across teams and validate models using real-world scenarios.

The AI Research Recruiter will develop strategic recruiting plans, enhance processes, and collaborate with teams to hire top AI research talent.

The Senior Solutions Engineer will bridge product and client-facing teams, ensuring the integration of AI solutions into insurer environments, while collaborating with sales and customer success for implementation and advocacy.

The Customer AI engineer develops prompts and applications for customers, ensuring content meets specific requirements by utilizing programming, linguistic skills, and collaboration with teams.

As an AI Engineer at Quintess AI, you will build and deploy AI agents, enhance voice AI capabilities, and collaborate with customers to solve real problems.

The role involves advancing AI and biology research, implementing models, and engaging with scientific communities and partners through effective collaboration and impactful publications.