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Machine Learning Engineer jobs

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37,878 jobs found
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Apple Senior Platform Engineer United States, New York, New York

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5+ years of proven experience in large scale software development. 5+ years collaborating across organizations with other specialists for feedback on proposed designs and product direction. 2+ years influencing teams...
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Apple GPU Performance Analysis Engineer United States, California, San Diego

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Experience with Verilog, C and C++. Experience with scripting in Python. Bachelor's degree and minimum of 3+ years of relevant experience. Experience in computer architecture, GPUs, or memory hierarchy design....
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Apple Software Engineer - Apple Watch United States, California, Cupertino

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Excellent Objective-C or Swift coding ability. Consistent record of completing projects on time, with high quality, to specification. Excellent communication and collaboration skills. Deep commitment to product quality and attention...
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Apple MLB Product Engineer United States, California, Cupertino

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7+ years experience in electrical design (ideally both digital and analog), electrical test, debug & integration of electronics into systems; consumer electronics experience is preferred. Bachelors in Electrical Engineering. Familiar...
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Apple Sr Algorithm Engineer Home Audio Devices United States, California

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8+ years of relevant work experience with M.S. in EE, CE, CS, or equivalent. Proficient in Python/MATLAB for data analysis, visualization of complex datasets. Experience with algorithm design for classification,...
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Apple Machine Learning Engineer News Team United States, California, Cupertino

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MS in Machine Learning, Computer Science or related field. Alternatively, equivalent industry experience to an MS degree is acceptable. At least 2 years of experience shipping machine learning models in...
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Apple Site Reliability Engineer – Software CSG United States, California, Cupertino

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Experience in at least one of the following languages: Python, Ruby, Go, Rust, Perl. Experience in designing and implementing RESTful services at scale. Experience with software design patterns in multiple...
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As a Machine Learning Engineer at Expoint, you will be responsible for creating real-world applications of AI and ML technologies. Using a variety of math and programming software, you will develop algorithms to automate data processing and decision-making functions. You will work collaboratively with a team of engineers, software developers, and data scientists to build efficient models that can facilitate the development of AI products. You will be expected to keep yourself up-to-date on the latest trends in ML technologies, develop proof-of-concepts, and create robust testing frameworks. You will have to have the ability to design and execute experiments with a variety of datasets, as well as develop models with the best performance criteria possible. Your end-results should be used to predict future outcomes and make recommendations. Additionally, you should be able to work within tight deadlines, work collaboratively in a team-oriented environment, and be self-directed in completing individual tasks. You should also have the ability to communicate clearly and concisely with both technical and non-technical stakeholders. We are looking for a creative thinker who understands how AI and ML can be used to help businesses make data-driven decisions. If you have a strong background in machine learning, programming, and software engineering, then come join our exciting team of engineers at Expoint.