Apple Inc.
AIML - Sr Machine Learning Engineer, LLM Optimization, Data and ML Innovation
Apple Inc., Cupertino, California, United States, 95014
AIML - Sr Machine Learning Engineer, LLM Optimization, Data and ML Innovation
As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding. As a Machine Learning Engineer in the LLM Optimization team, you will have the opportunity to be part of an innovative ML organization that enables LLM for Apple products. The team focuses on crafting and implementing ML-based solutions to improve runtime latency, training time, memory usage, time to first token, and decoding speed across all Apple applications. This role emphasizes shipping ML-based features and products. You will innovate across the entire end-to-end ML production pipeline. Are you fearless in trying new things and willing to iterate on ideas? We value team members who can quickly prototype towards high-quality implementations. Come and join us!DescriptionIn this role, you will leverage your background to:Design and implement ML-based solutions to improve runtime latency, training time, memory usage, time to first token, and decoding speed for Apple applications.Innovate across the entire end-to-end ML production pipeline, including dataset creation, neural network architecture design, model training, fine-tuning methods, training time optimization, on-device and server-side inference.Quickly prototype and iterate to achieve high-quality implementations for pioneering machine learning algorithms.Collaborate with hardware and software teams to integrate research findings into market-ready solutions.Translate theoretical ideas into tangible innovations, demonstrating their industrial applicability.Minimum QualificationsStrong ML backgroundProficiency in Programming Languages and Frameworks: Python, C++, PyTorch/TensorFlow/JaxExperience with Natural Language Processing (NLP), ML optimization - with a focus on LLMsOutstanding communication and technical writing skills, capable of conveying complex concepts clearly and efficientlyMS in Computer Science, or equivalent experiencePreferred QualificationsPhDNotable achievements validated by quality publications in ML optimization, with a focus on LLMsApple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding. As a Machine Learning Engineer in the LLM Optimization team, you will have the opportunity to be part of an innovative ML organization that enables LLM for Apple products. The team focuses on crafting and implementing ML-based solutions to improve runtime latency, training time, memory usage, time to first token, and decoding speed across all Apple applications. This role emphasizes shipping ML-based features and products. You will innovate across the entire end-to-end ML production pipeline. Are you fearless in trying new things and willing to iterate on ideas? We value team members who can quickly prototype towards high-quality implementations. Come and join us!DescriptionIn this role, you will leverage your background to:Design and implement ML-based solutions to improve runtime latency, training time, memory usage, time to first token, and decoding speed for Apple applications.Innovate across the entire end-to-end ML production pipeline, including dataset creation, neural network architecture design, model training, fine-tuning methods, training time optimization, on-device and server-side inference.Quickly prototype and iterate to achieve high-quality implementations for pioneering machine learning algorithms.Collaborate with hardware and software teams to integrate research findings into market-ready solutions.Translate theoretical ideas into tangible innovations, demonstrating their industrial applicability.Minimum QualificationsStrong ML backgroundProficiency in Programming Languages and Frameworks: Python, C++, PyTorch/TensorFlow/JaxExperience with Natural Language Processing (NLP), ML optimization - with a focus on LLMsOutstanding communication and technical writing skills, capable of conveying complex concepts clearly and efficientlyMS in Computer Science, or equivalent experiencePreferred QualificationsPhDNotable achievements validated by quality publications in ML optimization, with a focus on LLMsApple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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