Top Entry Level Machine Learning Jobs in San Francisco, CA
Develop ML solutions to enhance safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with engineering teams on core infrastructure and optimizations. Drive new ML initiatives and stay updated on industry research.
Lead a team applying machine learning methods to improve credit risk prediction for a lending product. Search for new variables to enhance underwriting models and work with the team to identify opportunities for new ML models in credit decisioning.
Deepgram is seeking a Research Scientist to work on building new speech and language AI foundation models. The role involves designing experimental programs, optimizing model architectures, and staying up to date with the latest advances in deep learning. A PhD in Physics, Electrical Engineering, Computer Science, or a related field is required.
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Research, develop, and productionize high-performance machine learning models and applications. Collaborate with various teams to deliver software solutions and analyze data to optimize business results. Design and implement scalable data processing pipelines.
As a Machine Learning Engineer at Pinterest, you will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will partner with teams across the company to experiment and improve ML models for various product surfaces and work in a high-impact environment with quick experimentation and product launches.
Staff Machine Learning Engineer role at Cruise, responsible for developing machine learning models for self-driving vehicles to navigate urban environments safely and smoothly. Involves research, development, technical leadership, and collaboration with cross-functional teams. Requires expertise in ML frameworks, machine learning, programming, and mathematical reasoning.
Lead machine learning research and application, train large scale models, deploy neural architectures efficiently, address safety challenges, collaborate with cross-functional teams
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