Artificial Intelligence Jobs in Oakland, CA

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

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.

Build production-ready backend components that interface directly with LLMs, create tooling to automate LLM-in-the-loop testing, design and validate LLM-based solutions using real biomedical data, and develop metrics to measure model performance and reliability under production load.

Interns will work with the AI Machine Learning and Data Science Team to build machine learning models and provide data-driven insights, collaborating with product and engineering teams.

The role involves building AI platform capabilities, mentoring engineers, collaborating with teams, and scaling systems for large datasets as part of a legal tech transformation.

The Growth Lead will drive the go-to-market strategy and user acquisition for an AI-powered SaaS product targeting SMBs, focusing on growth from launch to scale via effective user engagement tactics.

Lead the go-to-market strategy and execution for a new AI-powered consumer product, focusing on customer acquisition through various channels and optimizing performance metrics.

Seeking a hands-on Growth Lead to launch and drive user acquisition for a new consumer AI product, with ownership of growth strategies and metrics.

The Growth Associate & Product Launch Coordinator will support the launch of an AI consumer product, focusing on user acquisition, go-to-market planning, and onboarding improvements while working with the Head of Growth and product team.

Develop and train large-scale multimodal foundation models (vision and language) that fuse imaging with molecular data, build scalable distributed ML pipelines for petabyte-scale datasets, and collaborate with experimental scientists and engineers to productionize models and systems.

Develop and productionize agentic engineering systems for a physical-world AI agent. Build and maintain the agentic harness and tool integrations, run evaluations, analyze production traces, debug failures, collaborate with research to create and deploy custom models, and incorporate new agentic frameworks into the product.

Lead applied research on spatial reasoning, geometric and physical world modeling. Own data generation, evaluation, and product integration. Implement experiments, build production code, and drive research strategy in 3D, multimodal, simulation, and related domains.

Lead applied research on continual learning, fast adaptation, memory, and transfer learning for agentic systems. Own end-to-end pipeline from data generation to evaluation and product integration, run experiments, produce code, and drive research strategy while mentoring and managing a small team.

Lead end-to-end delivery of enterprise AI engagements: run discovery, size value, define features, coordinate cross-functional teams, drive adoption and change management, and own commercial expansion and program outcomes in regulated environments.

Lead development and scaling of a customer-facing AI agents platform using LLMs and internal APIs. Define roadmap, prompt strategies, evaluation frameworks, guardrails, and experiments to improve automation, accuracy, latency, and customer satisfaction. Partner with engineering and OpenAI to deploy voice and workflow automation capabilities.

Lead development and scaling of a customer-facing Agentic AI platform using LLMs and agents. Define roadmap, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI, run experiments to improve accuracy, latency, cost, and automation rates, and translate technical work across the organization.

Lead and own the AI platform strategy: consolidate prompts across systems, prioritize chatbot work, drive architectural decisions, manage OpenAI/ChatGPT integrations, and translate technical tradeoffs into execution while learning prompt workflows and coordinating engineering, data, and operations teams.

Lead development and scaling of an AI agent platform to automate customer interactions. Define roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails. Translate technical design across the org, run experiments to improve quality and automation, and work with OpenAI on voice and workflow model integrations.

Lead consolidation and strategy for a fragmented AI prompt platform, prioritize chatbot and agent work, own OpenAI partnership and ChatGPT presence, and drive platform architecture, migration, and cross-functional execution to scale AI-powered customer experiences.

Lead development and scaling of Jerry.ai’s agentic AI platform and customer experiences. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and external partners (e.g., OpenAI) to deploy voice and workflow automation models, drive experimentation to improve quality and automation, and establish AI best practices and platform standards.

Lead the customer-facing Agentic AI product and unify fragmented LLM-driven systems. Own roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails. Translate technical design across the organization, run experiments to improve quality and automation rates, and collaborate with OpenAI to deploy next-generation voice and workflow models.