Top AI Jobs in Los Angeles, CA

Interns will perform engineering tasks, participate in research programs, develop software systems, and present technical information, with training provided.

Lead and mentor Detection Engineers to enhance detection library, improve SOC capabilities, and ensure operational stability.

As Counsel for Regulatory and Privacy, you will guide product and operations teams on healthcare regulations and privacy laws, ensuring compliance while enabling innovation.

The Director of Practice Intelligence is responsible for data-driven solutions to optimize service delivery and improve client outcomes, managing analytics projects from conception to implementation.

The System Support Analyst will implement product initiatives, collaborate with agile teams, drive strategic recommendations, and ensure quality in product design and performance.

The GRC Analyst will manage third-party risk assessments, support SOC2 audits, develop GRC policies, and promote security awareness.

Lead and optimize the financial systems architecture, drive automation, enhance business intelligence, and develop a high-performing team in financial technology.

As an OPIR Analyst, you will analyze multi-sensor data and develop algorithms to support government space programs, particularly in remote sensing and tracking applications.

Manage client service accounts, lead and develop teams, deliver top-quality results using technology and data for Deal focused solutions, and drive client engagement.

The Senior Principal AI Scientist leads AI initiatives, leveraging deep machine learning expertise, collaborating with teams, and driving innovation in Experience Management at Qualtrics.

The Senior Technical Product Manager will define product strategy for AI initiatives, manage data science projects, and collaborate with engineering and operations teams to maximize product impact.

As a Robotics Engineering Intern, you will work on robotic grinding applications, collaborating with teams to design, implement, and test systems, while enhancing manufacturing efficiency.

The Senior Mobile Engineer will develop mobile apps for iOS and Android, collaborating with teams to deliver impactful features and shaping engineering practices from a new codebase.

As a Cloud Software Engineer at CrowdStrike, you will develop scalable cloud solutions, innovate with Large Language Models, and maintain data pipelines while ensuring high coding quality and collaborating with teams.

The Design Technology Lead will utilize computational design to drive data-informed decisions, mentor teams, and foster community in design technology initiatives.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Lead product management for Generative AI tools at Snap, collaborating with cross-functional teams to develop and enhance user experiences involving AI and camera technology.

The Staff Mobile Engineer will build mobile apps for mental health care, establishing technical foundations for iOS and Android, and guiding mobile strategy and best practices.

The Director of Business Operations & Strategy will scale Jerry.ai's insurance business, overseeing strategy, systems, and execution to enhance customer experience and drive outcomes in the insurance marketplace.

Lead AI-driven automation strategies to enhance data management and operational productivity, mentor teams, and analyze data trends for decision-making.

Lead the design and delivery of high-impact applications, mentor engineers, and drive technical initiatives while collaborating with cross-functional teams.

As a Sr. Product Designer, you'll create user-centered mobile experiences for AI-enabled mental health solutions, collaborating with cross-functional teams.

Lead the development and release of AI/ML models, design scalable pipelines, validate outcomes, and communicate results with stakeholders in the cybersecurity domain.

The role involves developing AI tools, managing the development lifecycle, collaborating on data integration, and educating end-users.

The role involves establishing AI product strategy, managing development cycles, evaluating vendors, and collaborating with technical and business teams to innovate revenue growth.