Top Remote Senior Data Engineer Jobs in San Francisco Bay Area, CA

The Senior Data Engineer at Babylist will focus on enhancing data platforms, particularly in building ML pipelines. Responsibilities include developing robust systems, collaborating across teams, and driving data-driven decision-making to support product innovation.

In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.

As a Senior Software Engineer on the ML Platform team, you'll build and maintain software applications for machine learning model deployment and process automation. The role includes developing tooling and infrastructure for research scientists, enabling rapid model experimentation, and ensuring automated, repeatable processes for model training and deployment.

The Senior Data Engineer at Carrum will develop and maintain data solutions, manage healthcare datasets, collaborate with teams to optimize data use, and ensure compliance. They will build infrastructure for data products and influence the technical direction of the company's data operations.

Lead research projects in drug discovery, focusing on real-world data studies. Collaborate with interdisciplinary teams, design observational studies, implement project plans, and translate research into actionable insights using advanced computational methods. Manage complex projects and utilize technical skills to solve challenges while ensuring stakeholder engagement.

The Senior Machine Learning Engineer will work on the Perception and Prediction team to enhance autonomous vehicle capabilities. Responsibilities include defining team direction, architecting solutions, prototyping, deploying solutions, and collaborating with team members while mentoring junior engineers in a cutting-edge environment.

As a Staff Machine Learning Engineer, you will develop content understanding signals and horizontal knowledge graphs to enhance recommendation systems. Your role involves leveraging advanced machine learning and natural language processing techniques, collaborating with cross-functional teams, and driving tech strategies to solve complex challenges.