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Apple AIML - Sr Machine Learning Engineer LLM Optimization Data ML Innovation 
United States, California, Cupertino 
822709671

20.07.2024
Description
In this role, you will leverage your background to: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.Translate theoretical ideas into tangible innovations, demonstrating their industrial applicability.
Minimum Qualifications
  • Strong ML background
  • Proficiency in Programming Languages and Frameworks: Python, C++, PyTorch/TensorFlow/Jax
  • Experience with Natural Language Processing(NLP), ML optimization - with a focus on LLMs
  • Outstanding communication and technical writing skills, capable of conveying complex concepts clearly and efficiently
  • MS in Computer Science, or equivalent experience
Preferred Qualifications
  • Phd
  • Notable achievements validated by quality publications in ML optimization, with a focus on LLMs
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple 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.