Aiml - Machine Learning Researcher Foundation Models jobs at Apple
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1,128 jobs found
09.09.2025
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Apple Machine Learning Engineer United States, West Virginia
Experience building machine learning models. Familiarity with the model development lifecycle. Familiarity with machine learning libraries and frameworks. Experience writing machine learning applications and mission-critical code for production machine learning...
7+ years of coding skills. Background in computer science: algorithms and data structures. Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes. Proficient in designing, developing, and...
10+ years of Product and/or Program management with experience covering as many of the following as possible: search engine infrastructure, internet services, distributed computing, a large-scale & international user base,...
Machine Learning background in speech and/or language/text/dialogue processing field. Processing large, complex, unstructured data. Speech understanding or generation model training. Evaluation of multiple open source models. M.S. or Ph.D. degree...
Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains. Collaborate with other teams to productionize state-of-the-art AI algorithms. Optimize...
Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep...
Austrian German reading, writing, and comprehension skills to support the language specific market. Fluency in English reading, writing and comprehension skills to partner with international teams. Excellent active listening skills...
Experience building machine learning models. Familiarity with the model development lifecycle. Familiarity with machine learning libraries and frameworks. Experience writing machine learning applications and mission-critical code for production machine learning...
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