Top Senior Machine Learning Jobs in San Francisco Bay Area, CA

The Principal Engineer will drive technical capabilities in Machine Learning and AI across teams, take on leadership responsibilities, mentor other engineers, and ensure high execution standards. They will also collaborate on significant hands-on development for ML/AI products, shape technical standards, and present to senior leaders.

As a Principal Data Scientist, you will work on developing machine learning models, conducting experiments to improve customer experiences, and building scalable production systems for vast amounts of transactional data. You'll collaborate closely with engineering and product teams, focusing on cutting-edge technologies in AI and analytics.

As a Machine Learning Engineer at Snap Inc, you will create models that enhance user experience, evaluate technical trade-offs, perform code reviews for quality assurance, and build scalable products while prioritizing swift iteration.

As a Staff Machine Learning Engineer for Conversational AI at Square, you will lead machine learning projects, focusing on creating intelligent solutions across products. Responsibilities include collaborating with stakeholders, driving end-to-end ML projects, mentoring team members, and ensuring engineering quality.

The Senior Machine Learning Modeler will develop scalable solutions for detecting and preventing financial crimes by leveraging machine learning. Responsibilities include building machine learning solutions, collaborating with stakeholders, producing regulatory documents, and identifying future needs. The role requires experience in software engineering and machine learning, with an emphasis on continuous learning and improving team culture.

As a Principal Machine Learning Engineer at Atlassian, you will lead the development of advanced machine learning algorithms, work with diverse teams to integrate AI capabilities into products, design architectures, conduct experiments, and mentor junior engineers, thereby enhancing AI functionalities across the platform.

As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating their performance. Responsibilities include data collection design, feature engineering, and building evaluation frameworks.