Top Machine Learning Jobs in San Francisco, CA
Research, develop and productionize high performance machine learning models, collaborate with various business functions to deliver software solutions, design scalable data processing pipelines, and optimize business results through analysis and insights.
Lead machine learning projects focused on conversational and generative AI to automate and optimize Square product features. Collaborate with business leaders and drive end-to-end ML projects to build intelligent products at Square. Require 6+ years of ML software development experience and strong understanding of ML development lifecycle.
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The Senior Machine Learning Engineer in Conversational AI at Square is responsible for leading projects across the product landscape, automating and optimizing Square product features using state-of-the-art machine learning techniques. They collaborate with business leaders, drive end-to-end machine learning projects, and contribute to building data-driven and intelligent products at Square.
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Senior ML Engineer role at Grammarly's On-Device ML team responsible for proposing, designing, and implementing strategic new features using ML models to enhance writing assistance capabilities. Collaborate with core product teams, monitor deployment, and leverage academic research to advance technology.
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms for Atlassian products and services. Responsibilities include designing system and model architectures, conducting experiments, and providing guidance to ML engineers.
As a Principal Data Scientist at Capital One, you will work on building machine learning models, conducting research into self-supervised learning, and refining integration patterns for downstream use cases.
Seeking an ML Engineer to join the AI team at Notion, responsible for incorporating AI technologies into the product and exploring the boundaries of ML technology. Must have 3+ years of experience in machine learning, recommendation systems, or natural language technologies.
Design, build, and maintain Machine Learning systems to flag fraudulent activities in real-time. Collaborate with global colleagues to solve technical challenges at scale. Lead experiments to validate novel ideas and apply theoretical advancements to enhance products and technologies.
Looking for a talented Staff ML Engineer to build ML platforms and data pipelines for large-scale data repositories. Responsibilities include designing and building ML architecture, managing the ML platform, developing data pipeline architecture, and writing scalable software. Qualifications include 8+ years of Java development experience, 4+ years in AI, ML, and Data Science, and knowledge of Python, Scala, TensorFlow, and more.
Seeking a Principal Data Scientist with strong engineering skills to drive technical capabilities in ML and AI across multiple teams. Responsibilities include building ML/AI products, serving as tech lead, advocating for improved practices, providing mentorship, and leading collaborations with senior leaders.
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