Machine Learning Jobs in Pasadena, CA

The Sensor Architect will manage vendor relationships, drive cross-functional collaboration, influence architectural decisions, develop test methodologies, and lead performance analysis for sensor technology.

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.

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

The Machine Learning Engineer will create models to drive user and advertiser value, perform code reviews, and build scalable products with a focus on quality.

Lead and mentor a team of Data Scientists to enhance viewer experience, improve algorithms, and deliver data insights. Collaborate across teams for product strategy and analytics studies.

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

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

The Manager, Corp Core AI Product directs AI product management teams for Finance and HR, shaping strategies and delivering AI solutions while ensuring team development and collaboration.

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

As a Data Scientist Intern, you will analyze large datasets, develop machine learning models, conduct experiments, and present findings to improve user experience.

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

Lead ads ranking at Snap, improve user relevance, advertiser performance, and revenue using ML models. Collaborate with cross-functional teams and mentor PMs.

Lead the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

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.

Design and develop MLOps workflows, deploy machine learning models on AWS, and collaborate with teams to deliver solutions that solve business problems.

The Machine Learning Engineer will create and evaluate models, conduct code reviews, and ensure code quality while building scalable products.

The Technical Program Manager will lead engineering operations, manage performance investigations, develop roadmaps, and mentor junior team members to ensure operational excellence in a fast-paced environment.

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.

As a Machine Learning Engineer, you will design and implement algorithms, maintain data pipelines, and ensure the scalability and efficiency of ML systems, collaborating closely with various teams.

Lead the design and optimization of OPIR systems, advising on space-based data collection and architecture solutions while engaging with government entities.

Lead the vision and strategy for ML Bots, ensuring integration with game teams, managing technical requirements, and overseeing product delivery in gaming environments.

The Senior Manager, Learning and Workforce Development will design learning frameworks, integrate learning into production, and build partnerships to develop talent in the manufacturing sector.

The Sr. Data Scientist analyzes data to improve player experiences and retention through machine learning models, collaborating with multiple teams to provide insights and recommendations.

Lead R&D initiatives focusing on software architecture and full-stack development, with expertise in SATCOM systems and advanced technologies. Drive innovation in multi-disciplinary engineering environments to enhance national security systems.