Senior Aiml - Sr Machine Learning Engineer Ml Platform & Technology Mlpt jobs at Apple in United States, California, Cupertino
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United States
California
Cupertino
82 jobs found
15.05.2024
A
Apple AIML - Sr Machine Learning Engineer Data ML Innovation United States, California, Cupertino
Demonstrated expertise in natural language processing, and machine learning with a passion for data-centric machine learning. Good understanding of Large foundation models. Staying on top of emerging trends in generative...
5+ years of demonstrated experience with developing and evaluating ML applications, and in understanding and improving data quality. Expertise in natural language processing, search and recommendation, and machine learning with...
7+ years of technical experience designing, building, and maintaining distributed data processing platforms. 5+ years of industry experience working with batch or streaming distributed data processing technologies (e.g. Spark, Flink,...
5+ years proven programming skills using standard ML tools such as C/C++, CUDA/Metal, PyTorch, Tensorflow. Hands-on experience working on LLVM, compiler technologies, optimization techniques like quantization and sparsity-induction is a...
Demonstrated expertise in machine learning with a passion for data-centric machine learning. Experience with natural language processing (NLP), and large language models, such as BERT, GPT, or Transformers. Staying on...
Scientific understanding and practical experience with the state of the art in machine learning, including foundation models; knowledge of natural language understanding is desirable. Strong Python programming, debugging, and design...
Expertise in large-scale data processing, with a track record of working with Spark and/or Flink, and device data processing. Understanding of distributed computing principles and data engineering standard methodologies. Proven...
Demonstrated expertise in natural language processing, and machine learning with a passion for data-centric machine learning. Good understanding of Large foundation models. Staying on top of emerging trends in generative...
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