Artificial Intelligence Jobs in Berkeley, CA

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

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

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

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

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.

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.

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.

Drive the go-to-market strategy and user acquisition for an AI-powered SaaS product, focusing on growth experiments and collaboration with teams.

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.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

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.

The Founding Engineer will architect and build an AI-native compliance platform, focusing on document processing, AI systems, and productionization, while collaborating with the founding team.

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.

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.

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

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

You will design and build high-performance graphics systems for 3D generative AI, collaborating closely with artists and researchers to innovate production pipelines.

As a Generative AI Researcher Intern, you will develop large-scale 3D generative models, bridge research and product development, and collaborate with teams to advance 3D AI applications.