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Apple, Inc.
Sunnyvale, CA, United States
Summary Posted: Mar 18, 2024 Weekly Hours: 40 Role Number: 200541351 Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple do
Job Source: Apple, Inc.Apple
Sunnyvale, CA, United States
Machine Learning Engineer, Applied Machine Learning Sunnyvale,California,United States Corporate Functions Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could acc
Job Source: AppleApple, Inc.
Cupertino, CA, United States
Summary Posted: May 14, 2024 Role Number: 200550889 Imagine what you could do as an applied machine learning scientist here. At Apple, novel machine learning ideas have a way of becoming extraordinary products, services, and customer experiences quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. H
Job Source: Apple, Inc.Snorkel AI
Redwood City, CA, United States
We're on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key t
Job Source: Snorkel AISnorkel AI, Inc.
Redwood City, CA, United States
As an Applied Machine Learning Engineer, you’ll research and utilize established and state-of-the-art machine learning (ML) techniques to successfully deliver solutions to our customers. You'll engage new ML use cases through hands-on customer problems and help generalize learnings into the core Snorkel Flow platform. We move fast and are constantl
Job Source: Snorkel AI, Inc.Apple
Sunnyvale, CA, United States
Machine Learning Scientist/Engineer, Applied Machine Learning Sunnyvale,California,United States Corporate Functions Do you want to work on building groundbreaking Machine Learning (ML) technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring pass
Job Source: AppleApple, Inc.
Sunnyvale, CA, United States
Summary Posted: May 29, 2024 Weekly Hours: 40 Role Number: 200550034 Imagine what you could do here. At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied Machine Learning(AML) Solu
Job Source: Apple, Inc.Apple Inc.
Sunnyvale, CA, United States
Machine Learning Scientist/Engineer, Applied Machine Learning Do you want to work on building groundbreaking Machine Learning (ML) technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling w
Job Source: Apple Inc.Palo Alto, CA, United States
About Nexusflow.ai
Modern enterprise copilots & agents call for last-mile quality, enterprise-grade robustness and scalable operation cost, beyond the program orchestration toolings. Nexusflow tackles this challenge, enabling enterprises to own their workflow copilots & agents stack on top of powerful yet cost-effective compact LLMs. We train large language models and build last-mile quality dev tooling for copilot and agents on your workflows. Our team has built the open-source LLM NexusRaven rivaling GPT-4 in function calling with 100X smaller model size. Our team members are also behind the scene of Starling , the #1 ranked compact 7B chat model based on human evaluation in Chatbot Arena .
Position
Nexusflow is currently adding Applied ML Engineersto our team.Our Applied ML Engineers power our LLMs as well as Nexusflow’s methodologies for last-mile quality tooling for copilots and agents. They build the base layer of Nexusflow’s stack, contributing to tooling product and customer solutions.
Responsibility
Develop LLMs targeted at powering copilots and agents built for enterprise workflows
Develop toolings to attain last-mile quality and robustness for copilot & agents applications (especially under low volume of manually curated data)
Building copilot & agent application solutions for high value customer verticals
Wear many hats and collaborate with the whole team for product development, deployment and customer success
Qualification
Required
i. Research or industrial engineering experience in at least one of the following aspects in the context of large language model or multi-modality models:
Data curation
Pre training
Instruction tuning
Copilots & agents building
Capability study and benchmarking
ii. Excitement to contribute to both applied research and software engineering on productionizing the applied research outcome
Preferred
Working experience in fast-pace teams
In-depth experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI, FSDP)
Experience in turning applied research results into product components
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Email Alert for Applied Machine Learning Engineer jobs in Palo Alto, CA, United States
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