Posted in: Other in San Francisco | Posted: |
Job Description
Responsibilities
Collaborate with product managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements.
Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.
Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability.
Lead the development and implementation of AI models, ensuring adherence to best practices in machine learning and deep learning.
Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes.
Optimize AI models and systems for performance, scalability, and efficiency.
Conduct regular code reviews and provide technical guidance to junior members of the team.
Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.
Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments.
Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.