Top Senior Level Machine Learning Jobs in San Francisco Bay Area
Seeking a Senior Machine Learning Platform Engineer to join Machine Learning Foundations team. Responsible for building self-service tooling for the model lifecycle and working closely with internal customers to provide sustainable software solutions. Must have experience in software engineering and machine learning engineering with a focus on the ML lifecycle.
Build and enhance AI models for Gusto's customers. Develop natural-language interface and improve LLM models. Collaborate with infrastructure teams and research novel AI techniques. Minimum 6 years of software engineering experience.
As a Machine Learning Engineer on the Embeddings team at Liftoff, you will have end-to-end ownership of ML models, adopt or build new technologies for training and serving ML models, mentor team members, monitor latest ML research, and influence the roadmap for your team.
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Design and build ML architectures and data pipelines for large-scale data repositories. Work on Clari's AI models and platform. Collaborate with stakeholders to deliver enterprise products. Fully remote opportunity in the United States.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations. Collaborate with engineering teams to deliver core infrastructure and optimizations. Impact industries like agriculture, construction, transportation, and manufacturing.
Lead a team of Machine Learning Engineers in developing ML solutions across marketing, product, and operations. Collaborate with cross-functional teams to build machine-learning based systems and guide strategic decisions in machine learning and data use.
The Senior Machine Learning Engineer II at Cruise is responsible for researching, developing, and optimizing machine learning algorithms for self-driving vehicles. The role involves being a technical leader, guiding technology choices, balancing tradeoffs, and enabling team members through effective design and code.
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning engineers and data scientists. You will lead projects, collaborate with teams, and tackle complex challenges. The role requires 5+ years of experience and fluency in Java, Kotlin, and Python.
As a Principal Data Scientist at Capital One's Emerging ML team, you will work on developing machine learning models, conducting research on self supervised learning and transformer models, and analyzing customer behavioral data to improve financial experiences.
Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community
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