Learning Styles Knowledge jobs in San Francisco

Apple

$14,300 - $25,183 /year

Join us in enabling the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced, machine learning engineer, who has also worked in ML infrastructure. Ideally, you should

As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed

Apple

Role Number: 200621001-3401 Summary Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced, machine learning engineer, who has also worked in ML

Jobskey Search and Selection

A recruitment firm is seeking a Knowledge Management Consultant to enhance knowledge transfer activities. This role requires a minimum of 5 years of experience and strong communication skills. Responsibilities include establishing work priorities, guiding staff, and conducting research to support pr

A leading solar energy company is seeking a Knowledge Management & Learning Partner to design and manage centralized training resources. This role involves eliminating content chaos and creating a Single Source of Truth to drive efficiency and accuracy for field teams. Ideal candidates will have 3-5

## Sr. Knowledge Management & Learning PartnerEver since we started in 2007, Sunrun has been at the forefront of connecting people to the cleanest energy on Earth. It’s why we’ve become the #1 home solar and battery company in America. Today, we’re on a mission to change the way the world interacts

Apple

Role Number: 200621001-3401 Summary Join us in enabling the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced, machine learning engineer, who has also worked in ML

Apple Inc.

AIML - Sr./Staff Machine Learning Engineer, Machine Learning Platform Technologies San Francisco Bay Area, California, United States Machine Learning and AI Imagine what you could do here. At Apple, great ideas quickly become extraordinary products, services, and customer experiences. Bring passion

You will lead the strong team of MLE, SWE, and data engineers responsible for delivering efficient and effective Generative AI models to build and improve the summarization capabilities across different data types. In this role, you'll drive E2E R&D and engineering to generate high-quality s

You will lead the strong team of MLE, SWE, and data engineers responsible for delivering efficient and effective Generative AI models to build and improve the summarization capabilities across different data types. In this role, you'll drive E2E R&D and engineering to generate high-quality s

Sr. Machine Learning Engineer -AI, Search & Knowledge Platform San Francisco Bay Area, California, United States Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are looking

Apple

Role Number: 200621001-3401 Summary Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced, machine learning engineer, who has also worked in ML

The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and

The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Research Expert Type: Contract Compensation:

Summary Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries

Work along side Foundation Model Research team to optimize inference for cutting edge model architectures. Work closely with product teams to build Production grade solutions to launch models serving millions of customers in real time. Build tools to understand bottlenecks in Inference for different

Work along side Foundation Model Research team to optimize inference for cutting edge model architectures. Work closely with product teams to build Production grade solutions to launch models serving millions of customers in real time. Build tools to understand bottlenecks in Inference for different

We are looking for a very experienced, machine learning engineer, who has also worked in ML infrastructure. Ideally, you should have experience with shipping intelligent features, end-to-end, and from idea to production. You should also have experience in building ML infrastructure to enable others

As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed