Artificial Intelligence Jobs in Berkeley, CA

The AI Engineer will develop an Enterprise GenAI platform, design RAG systems, build AI pipelines, and implement evaluation frameworks while collaborating with cross-functional teams.

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.

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 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.

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

The Staff AI Scientist designs and deploys ML models to detect fraud risk in banking and lending, collaborating cross-functionally and improving data infrastructures.

Develop and monitor credit risk AI/ML models for lending products while ensuring compliance and collaborating with cross-functional teams.

The Senior Credit AI Scientist for Consumer Risk Fraud will develop AI/ML models for credit risk, oversee model lifecycle, and collaborate across teams to impact lending decisions.

Develop and deploy AI/ML models for credit risk in a lending context, ensuring alignment with business goals and regulatory compliance.

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

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.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

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.

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.

Design, build, and optimize AI-powered workflows and prompts for legal practice groups; collaborate with attorneys and IT; ensure quality, compliance, adoption, and reporting of AI solutions across the firm.

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.

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