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Top Hybrid Machine Learning Jobs in San Francisco, CA
As a Senior Machine Learning Quality Engineer at ServiceNow, you will design and review test automation frameworks for machine learning models, work with ML engineers to address functional requirements, establish metrics for test effectiveness, and create comprehensive test plans. Collaboration with both technical and non-technical team members is essential to ensure quality in AI and ML applications.
The Executive Director for Applied AI/ML will lead a team to address business challenges for JPMorgan's Global Banking sector, driving AI technology innovations. Responsibilities include setting a strategic vision, guiding project execution, collaborating with stakeholders, and fostering a high-performance culture within the team.
The Principal Machine Learning Engineer will lead the development and optimization of recommendation systems for Disney's streaming platforms. This role requires collaboration with various teams to innovate on personalized content experiences, manage stakeholder expectations, and drive company objectives related to algorithms and recommendations.
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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 ML Research Scientist at Wispr, you will collaborate with neuroscientists and ML engineers to design algorithms that decode neural signals, setting benchmarks for ML research and experimenting with various deep learning architectures to enhance human-machine interactions.
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