Top Machine Learning Jobs in San Diego, CA
As a Senior ML Data Linguist, you will create, label, and evaluate synthetic data for Generative AI projects. You will enhance AI systems' natural language understanding through data preprocessing, language modeling, and collaboration with cross-functional teams, while staying updated on advancements in the field.
As an Applied AI Scientist at ZS, you'll develop advanced algorithms to solve complex problems, execute statistical techniques on large data sets to extract trends, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership through research and publications.
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The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.
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As a Machine Learning co-op, you'll work on developing and deploying machine learning algorithms to automate administrative clinical practices. You'll be part of an agile team, contributing to feature design, testing, and delivery of ML models, while collaborating with various stakeholders.
As a Senior Machine Learning Engineer, you will design, build, evaluate, and iterate on large scale machine learning systems, collaborating with cross-functional teams to enhance user experiences at Dropbox. Your work will directly impact the product and its millions of users, utilizing cutting-edge AI/ML advancements.
As a Senior Machine Learning Engineer in Personalization, you'll design and manage distributed services and tools for machine learning applications, lead projects across engineering boundaries, and collaborate with various teams. Your role includes building recommendation and ranking systems while ensuring high code quality and providing mentorship to teammates.
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 Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Machine Learning Engineer at Liftoff will develop and train algorithms for real-time bidding, analyze inventory performance, and oversee experiments for optimization strategies. The role involves enhancing existing ML infrastructure, collaborating with engineering teams on data pipelines, and fostering a culture of engineering excellence.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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