Artificial Intelligence Jobs in Oakland, CA

Design and build agentic AI workflows for biological and clinical data curation and analysis. Implement context engineering (RAG variants), prompt and agent architecture optimization, LLM tool-use integrations, and evaluation benchmarks. Collaborate with bioinformatics and clinical experts to translate domain problems into reliable, production-quality agentic systems.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

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.

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

Intern will build autonomous AI agents, develop CV pipelines for material characterization, optimize high-performance data pipelines for battery datasets, and support backend tools (FastAPI, dashboards) to enable modeling and production ML workflows.

Lead the design strategy for AI products, creating intuitive user experiences for AI-powered tools. Mentor designers and innovate new AI-native products.

The Head of Partnerships will develop and manage partnerships, build programs for early-stage companies, and represent Fastino at industry events to drive business growth and brand presence.

This role involves driving new client acquisition and revenue growth through full-cycle sales execution and relationship building with stakeholders, while maintaining pipeline tracking in CRM.

The AI Growth Lead oversees growth strategies for Influur, focusing on acquisition and optimization across brands and influencers using AI-driven approaches.

The AI Implementations Manager oversees the delivery and stabilization of AI solutions, ensuring alignment with architecture and managing complex integrations across teams and stakeholders.

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.

The role involves building production-level machine learning models, optimizing algorithms for content delivery, and collaborating with teams to implement models. A focus on machine, deep learning, and data-driven insights is required.

The Senior AI Scientist will lead ML/AI innovation for multimodal video models, develop production-grade ML models, and engage in research and representation at conferences.

As an AI Engineer, you'll lead backend implementation, build AI-powered products, and ensure high-quality systems, contributing to Elicit’s tech stack and user experience.

The Chief Growth Officer will lead enterprise growth strategy, oversee AI-powered demand generation, and manage content and product marketing to drive sales.

The Frontend Engineer will build interfaces for software delivery, collaborating with cross-functional teams, driving feature development, mentoring teammates, and advancing engineering standards.

Lead product marketing for Procore's AI initiatives, shaping strategy, messaging, and sales enablement while driving AI adoption in construction.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Partner with executive sponsors and end users to identify high-impact AI use cases on Glean, run discovery workshops, scope pilots, build AI agents, drive adoption and expansion, and translate business needs into measurable outcomes.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.