Top Senior Level Machine Learning Jobs in San Francisco Bay Area
Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency for enterprise services at ServiceNow. Collaborate with a team to build and implement cutting-edge AI/ML solutions for enterprise customers globally. Responsible for data acquisition, evaluation metrics, and driving software quality and performance at scale.
Principal Data Scientist role at Capital One's Consumer Identity Machine Learning team, responsible for developing machine learning models, partnering with business teams, and writing software to analyze customer data. Ideal candidate is innovative, creative, technical, and statistically-minded.
Seeking a Deep Learning Research Scientist to create novel deep learning systems with the capability to perform tasks that were once considered unattainable. Fully remote position reporting to the Dessa AI Research Lead.
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The Software Engineer, Machine Learning will collaborate across machine learning, platform, and product engineering teams to develop scalable solutions using data and machine learning engineering. Responsibilities include training models, contributing to various serving stacks, building ML infrastructure, developing communication devices, and advancing technical approaches to scalable machine learning.
Hiring Senior Machine Learning Engineers to join the ML Platform team. Responsible for building a scalable Machine Learning platform.
Lead the technical roadmap, design and implement machine learning models for ad ranking, collaborate with cross-functional teams, stay updated with latest ML technology, and provide technical direction to improve performance and tech stack.
Senior Staff Software Engineer role focusing on building scalable machine learning systems and platforms at a next-generation financial services company. Responsibilities include architecting ML systems, collaborating with teams, designing software architecture, and contributing to a culture of innovation. Requires 6+ years of experience in technical field, proficiency in Python, Java, or C++, and experience with cloud platforms and scalable data processing.
Lead Principal Machine Learning Software Engineer role at Atlassian's Central AI team, responsible for developing AI infrastructure, data pipeline, frameworks, and models. Works closely with product, backend/frontend engineering, and analytics teams to integrate AI functionalities into Atlassian products. Requires expertise in Python or Java, knowledge of SQL, Spark, and cloud data environments. Strong quantitative background with a master's or PhD in Statistics, Mathematics, Computer Science, or relevant work experience.
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.
Design and implement cutting-edge machine learning algorithms for multimodal data to shape the future of AI-driven creation at Roblox
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