Top Machine Learning Jobs in San Francisco, CA
As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.
As a Senior Machine Learning Engineer at CrowdStrike, you will innovate machine learning technology for data science, create scalable microservices, build data pipelines, and collaborate across teams to enhance the cybersecurity platform. You'll engage in ongoing learning, maintain coding standards, and contribute to a collaborative environment while mentoring fellow engineers.
As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.
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The Senior Staff Scientist will lead the development of hybrid AI applications optimized for various platforms, collaborate with teams to integrate quantum algorithms, and foster client relationships while representing the company at conferences. The role also includes discovering new algorithms and developing core intellectual property in quantum computing.
As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
As a Director of Engineering in Machine Learning at Waymo, you will manage multiple teams, drive technical vision, and push the boundaries of deep learning to tackle complex autonomous driving challenges. Your focus will be on innovation in robotics while fostering collaboration across the organization.
The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.
The Senior Machine Learning Engineer will build automated pipelines for AI/ML models, collaborating with data scientists and engineers to deploy solutions. They will lead model deployment, enhance personalization, mentor team members, and conduct experiments to optimize algorithms, while designing reliable distributed systems and maintaining high-performance ETL processes.
The Senior Software Engineer will build systems and tools to enable data scientists in creating machine learning applications, improve frameworks for scalable pipeline development, collaborate with product owners, and mentor junior team members within the C3 AI Platform engineering team.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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