Machine Learning Jobs in Anaheim, CA

The Director of Data & AI will lead the development of scalable data architectures and AI initiatives to enhance operational efficiencies and automate processes for space missions.

Mission Operations Engineers at Anduril manage deployment, customer relationships, and product improvements for defense technology. They ensure mission success by working with engineering teams to adapt products to customer needs, and drive commercial growth through customer success initiatives.

Provide operational support for harm detection, develop proactive detection rules, and collaborate with various teams to enhance platform safety.

Lead the proactive Trust & Safety Operations team at Snap to enhance user safety, develop detection rules, and optimize tools through cross-functional collaboration.

Oversee assembly operations, implement process improvements, and collaborate with engineering and production teams to optimize manufacturing of rockets.

Lead the Onboarding & Activation engineering team, leveraging AI to optimize customer experiences and revenue growth through collaboration and experimentation.

Lead the design and implementation of perception and planning algorithms for autonomous vehicles using advanced technologies in robotics.

The Principal Software Engineer will design and implement scalable backend services, lead technical initiatives, and ensure high availability across critical systems.

Lead the Privacy Engineering team at Snap Inc., overseeing privacy initiatives, data governance, and regulatory compliance while aligning with business goals.

Lead the development of a novel navigation solution, focusing on perception, tracking and guidance for autonomous drones, involving CV and GNC expertise.

Develop and implement autonomy technologies for space security, focusing on AI and optimization. Collaborate with cross-functional teams to solve complex challenges.

As a Systems Engineer, you will build and maintain systems infrastructure, create automation frameworks, and collaborate with cross-functional teams. Responsibilities include device management, troubleshooting, and leveraging AI and ML for system optimization.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

Lead Compa's Applied AI team, overseeing ML projects and initiatives. Collaborate cross-functionally and ensure delivery of production-grade AI systems.

The role involves managing technology solutions, mentoring teams, and building client relationships while delivering innovative AI and GenAI technologies.

The Manager will oversee proactive Trust & Safety operations, enhance detection systems, manage escalations, analyze data, and collaborate with teams to improve platform safety.

The Site Reliability Engineer - Incident Response accelerates incident resolution, partners with engineering teams during incidents, delivers summaries, and analyzes response effectiveness for improvements.

As a Prompt Engineering Intern, you will enhance wargaming processes using AI and ML technologies, building prompts and evaluating ML algorithms for defense applications.

As a Robotics Software Engineer, you'll develop and maintain robotics libraries, optimize product performance, and collaborate on the full software lifecycle, ensuring seamless integration of software with hardware systems in autonomous systems development.

Design and optimize ML infrastructure systems, build feature pipelines, develop inference systems, and manage data for scalable ML models at Snap Inc.

The Senior Machine Learning Architect leads the design and implementation of scalable ML systems, collaborates with teams, and defines strategies aligned with business objectives to enhance ML capabilities.

Lead the design and deployment of machine learning models for personalized navigation, collaborate across teams, and drive technical excellence in ML practices.

Lead a team in developing and optimizing a personalized video recommendation engine, focusing on machine learning infrastructure and A/B testing. Ensure system architecture scalability, performance, and reliability.

Lead the development of multi-camera perception and localization systems, design algorithms for object detection and tracking, and optimize visual search systems.

Design and deploy computer vision models for applications like object detection and video analytics. Collaborate with teams and mentor juniors.