Artificial Intelligence Jobs in Fremont, CA

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

Lead a team to develop generative AI for synthetic data in autonomous driving. Manage ML engineers, oversee model production, and establish KPIs.

The Backend Engineer will contribute to building Ambient AI solutions, scale infrastructure, design AI pipelines, and collaborate closely with engineering and product teams to enhance model deployment and performance.

The Senior Backend Engineer will contribute to healthcare platform development, scale infrastructure, work across the software stack, and support customers. Requires strong Python skills and experience in building production environments.

The Senior Software Engineer will prototype and develop full-stack applications for AI Vision, collaborating across teams and mentoring junior members.

The Director of Engineering, AI Infrastructure will lead AI/ML initiatives, define strategic roadmaps, oversee infrastructure delivery, and drive MLOps best practices to support the company's transformation into an AI-native insurer.

The role involves leading product strategy, market research, collaboration across teams, customer engagement, and defining AI-enhanced solutions in Sales and Support technologies.

The Lead Software Engineer will build AI-integrated systems for healthcare delivery, focusing on clinical summarization, patient risk prediction, and AI-powered coordination within a fast-paced team environment.

Lead the design and implementation of AI-driven networking solutions, mentor teams, and analyze complex data to improve network performance.

The role involves designing and developing scalable AI/ML systems, evaluating model performance, and collaborating with various stakeholders to accelerate drug discovery.

Develop and optimize backend systems for AI/ML applications, collaborate with scientists to improve data processes, and build scalable solutions.

As a Senior/Principal Software Engineer in AI Enablement, you'll design and develop scalable AI/ML systems, collaborate with scientists and product managers, and optimize data-driven workflows.

Build infrastructure for AI applications, improve efficiency of distributed AI workloads, and collaborate with cross-functional teams at Databricks.

Lead the AI enablement team, collaborating with cross-functional partners to develop tools and refine product requirements while mentoring engineers.

The Staff AI Research Engineer will architect AI systems, optimize retrieval methods, collaborate across teams, and innovate AI solutions for sales efficiency.

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 Mid-Market/SMB Account Executive will close new business through relationship-based selling, exceed sales quotas, and collaborate to drive growth.

The Power System Engineer conducts load and generation interconnection studies, optimizes processes through automation, and collaborates with utilities and developers to improve timelines in power system modeling and AI applications.

As General Manager of AI Data Labeling, oversee P&L, strategy, customer acquisition, team building, and ensure operational quality and compliance.

Lead and manage the software engineering team at C3 AI, focusing on driving product innovation, team growth, and project management in a fast-paced environment.

As a Senior Software Engineer, you will enhance AI capabilities in GEICO's systems, design scalable solutions, integrate various services, and collaborate with cross-functional teams to improve customer experience.

As a Senior Generative AI Engineer, you will lead the development of models for synthetic data generation and enhance the safety and capability of autonomous driving solutions at Zoox.

Develop cutting-edge AI/ML fraud models, manage model lifecycle, collaborate with cross-functional teams, and ensure model compliance and fairness.

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

The Staff Credit AI Scientist will develop AI/ML models for lending products, design data pipelines, and ensure compliance with credit risk regulations while collaborating with cross-functional teams.