Aiml - Machine Learning Researcher Foundation Models jobs at Apple in United States, New York
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11 jobs found
19.05.2025
A
Apple Machine Learning Engineer – Ads Predictions United States, New York, New York
4+ years of experience applying machine learning and statistical modeling at scale, preferably in ad tech, recommender systems, or web-scale search/retrieval. Deep experience with neural network architectures (e.g., Transformers, DNNs,...
7+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets. You can actively participate in investigations into multiple streams of ads quality...
3+ years of experience in ML or applied research, with a focus on retrieval, ranking, NLP, or content understanding. Deep understanding of information retrieval, semantic search, and query-document matching. Strong...
10+ years of experience in web application development with an in-depth understanding of data structures and algorithms. Building and deploying Machine Learning models to production using data processing tools including...
5+ years experience in writing mission-critical code for production machine learning systems and building machine learning models. Strong experience building and scaling cloud-based architectures. Extensive experience building AI/ML tooling and/or...
Experience designing and developing ML infrastructure/frameworks for training and inference. Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Experience building machine learning models using...
Experience writing mission-critical code for production machine learning systems. Experience building machine learning models. Experience building and scaling cloud-based architectures. Experience building AI/ML tooling and/or infrastructure. Experience working on distributed...
4+ years of experience applying machine learning and statistical modeling at scale, preferably in ad tech, recommender systems, or web-scale search/retrieval. Deep experience with neural network architectures (e.g., Transformers, DNNs,...
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