Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.

The role will involve building and managing multi-modal databases consisting of text, numbers and imaging data already within electronic health records at UCSF medical center and facilitate use of this database to train machine learning models towards enhancing ophthalmological disease diagnosis and management.

Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done Qualifications You Have: 5+ years of Machine Learning modeling experience.

Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission.

The successful candidate will play a crucial role in building and leading this team, implementing robust testing and monitoring processes, and collaborating across Cash Business, Product, Machine Learning, Compliance, and Counsel teams to enhance Cash App's risk management capabilities.

Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.

Grow and build a strong global software and data engineering team, focusing on attracting and hiring top talent. Partner with security and Site Reliability Engineering (SRE) teams to ensure continuous improvement and compliance with security requirements, service level objectives (SLOs), and error budgets.

Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.

The ideal candidate will have 10+ years of industry experience in chemical process design, modeling, and engineering and have seen the full cycle of plant design from concept to construction to shakedown to operation.

Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance. 5+ years of Machine Learning modeling experience.

Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.

The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.

Data Processing and Feature Engineering: Develop pipelines and tools for data processing, feature engineering, and preprocessing to support machine learning model development.

Recognized in the Top 20 Engineering Firms and Top 3 Science and Technology Firms since 2000 by Building Design + Construction Magazine , AEI is dedicated to enhancing public health and improving patient outcomes, advancing revolutionary biomedical research, and enabling the next generation of scientific discovery and technological innovation through remarkable design and award-winning projects.

A team of experts in social-emotional learning, physical activity, education landscape, and ed-tech platforms guides us. We collaborate closely with schools to provide comprehensive programs infused with social-emotional learning (SEL.