Top Remote Machine Learning Jobs in San Francisco, CA

The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.

As a Staff Machine Learning Engineer, you will develop ML strategies to enhance customer support, lead the development of a natural language understanding system, and collaborate with teams across the organization to leverage existing ML capabilities.

The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.

The Senior Staff Scientist at IonQ will lead the development of quantum AI solutions, conduct research to discover new algorithms, and optimize hybrid applications on quantum computers. The role involves collaboration with PhD scientists and various teams while shaping long-term strategies for quantum AI application deployment.

As a Senior Backend Engineer focusing on the Machine Learning Platform, you will design and maintain scalable AI solutions, develop distributed systems, collaborate with product and engineering teams, and integrate AI innovations into product development.

As a Senior Machine Learning Engineer at Wasabi, you'll drive AI advancements, design and implement ML solutions including computer vision and NLP, and collaborate across teams to integrate machine learning capabilities. The role involves testing and debugging ML models to ensure quality and reliability.

As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.