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Apple Inc.
Seattle, WA, United States
AIML - Machine Learning Research Engineer, Foundation Models Seattle , Washington , United States Machine Learning and AI We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation o
Job Source: Apple Inc.Apple, Inc.
Seattle, WA, United States
Summary Posted: Jun 26, 2024 Weekly Hours: 40 Role Number: 200552063 We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and
Job Source: Apple, Inc.TikTok
Seattle, WA, United States
Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imagin
Job Source: TikTokMicrosoft
Redmond, WA, United States
The Machine Learning Foundations Group in Microsoft Research (MSR), in Redmond, WA seeks a Researcher - Machine Learning , who has a keen interest in developing the next generation of principled machine learning and optimization algorithms. This role is 100% remote based in United States of America. Relocation to U.S. does not apply/is not provide
Job Source: MicrosoftApple
Seattle
AIML - Machine Learning Research Engineer, Foundation Models Seattle,Washington,United States Machine Learning and AI We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, image
Job Source: AppleApple
Seattle
AIML - Machine Learning Researcher, Foundation Models Seattle,Washington,United States Machine Learning and AI We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, spee
Job Source: AppleStorm3
Seattle, WA, United States
Senior / Staff / Principal Machine Learning Research Scientist $400M Series B Biotech Remote Up to $300k Base + Significant Equity + Bonus + 401(k) program Interested in joining a start-up that are revolutionizing the AI Drug Discovery world? They are building a world-class ML team to accelerate the use to computational methods in AI drug discove
Job Source: Storm3Uberduck
Seattle, WA, United States
[Full Time] Machine Learning Research Engineer at Uberduck (United States) | BEAMSTART Jobs Machine Learning Research Engineer Uberduck United States Date Posted 16 May, 2023 Work Location Seattle, WA, United States Salary Offered $120 — $200 yearly Job Type Full Time Experience Required 3+ years Remote Work Yes Stock Options Yes Vacancies 1
Job Source: UberduckRedmond, WA, United States
The Research for Industry (RFI) initiative seeks to identify and accelerate scientific advances in technologies such as data platforms, connectivity, robotics, and artificial intelligence (AI) and bring them to bear on opportunities in a variety of industries, including retail, financial services, energy, and agri-food, and others.
As part of Research for Industry, you will work closely with partners, customers, and field experts to enable the data-driven future of different businesses. In collaboration with scientists in Microsoft Research, our engineers in Azure invent new technologies to bring the best in cloud and AI to bear on the emerging challenges and opportunities in industry.
In this role, we are looking for a Principal Machine Learning Engineer to help leverage the advancements in large models to accelerate simulations in industry scenarios, such as in agriculture, food, supply chain, retail, energy, manufacturing, and other verticals.
We are seeking a Principal Machine Learning Engineer with expertise in machine learning and distributed systems. This individual will have a deep understanding of machine learning and will be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research and simulations.
Responsibilities
Architect, innovate, design, and implement scalable and robust solutions for machine learning involving large volumes of heterogeneous data.
Build and optimize distributed data processing and model building pipelines.
Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions
Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
Document and share best practices across the organization.
Work on research projects, write papers, present at research communities.
Maintain the highest standards in code quality and software design.
Qualifications
Required Qualifications
Bachelor's Degree in Computer Science, Physics, Engineering, Chemistry, Mathematics or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
4+ years of experience working with machine learning and large datasets.
Experience in machine learning frameworks, including, but not limited to, TensorFlow, PyTorch.
4+ years of experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or Graphics processing units (GPUs).
Preferred Qualifications
Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
Familiarity with Linux and the open-source ecosystem.
Prior experience developing high-performance scientific software.
Ability to design and execute an original research agenda.
Ability to work in a multi-disciplinary team.
Candidates need to be able to collaborate effectively with other researchers.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
#Research
#RaR
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Email Alert for Principal Machine Learning Engineer – Foundation Models – Microsoft Research jobs in Redmond, WA, United States
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