Artificial Intelligence Jobs in Berkeley, CA

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

The role involves designing and implementing AI research infrastructure, building automated data pipelines, and integrating AI systems to enhance research efficiency and insights delivery.

The Enterprise Account Executive will develop relationships with key decision-makers at Fortune-class enterprises, drive sales growth, and deliver solutions for voice call management to enhance customer experience.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The Senior Machine Learning Engineer will develop scalable ML systems, collaborate across teams to improve solutions, and manage critical ML infrastructure projects.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

Lead the architecture design and development of AI-driven Customer Interaction and Contact Center solutions while advising cross-functional teams and clients.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

Lead the development of Contact Center AI solutions, improve customer engagement, and oversee multiple projects while managing client relations and mentoring teams.

The Senior Machine Learning Engineer will design, implement, and maintain machine learning algorithms and systems. Collaborate with teams, manage version control, and integrate AI models into applications, emphasizing speed and regulatory compliance.

Lead and grow the Frontend Platform team for Ambient AI products, focusing on performance, reliability, and cross-functional collaboration while ensuring high standards for technical execution.

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.

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.

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.

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 Account Executive will drive customer acquisition in the AI-native sector, manage the sales cycle, create a scalable sales playbook, and collaborate cross-functionally to establish Metronome as a leading billing infrastructure.