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Apple AIML - Machine Learning Engineer Siri Conversation Intelligence 
United States, California, Cupertino 
323944935

31.08.2024
Description
- Develop novel ML/DL models including LLMs for natural language and conversational understanding- Work with software and platform engineers to convert and compile the models to run on device and integrate them with runtime systems.- Optimize latency and performance of the models- Diagnose model errors and perform accuracy hill climbing for shipped products.
Minimum Qualifications
  • Solid understanding of state-of-the-art technology in machine learning, deep learning (including LLMs) and natural language understanding.
  • Excellent problem-solving (e.g. via building forward-looking prototype systems), critical thinking, strong communication, and collaboration skills
Preferred Qualifications
  • 3-5+ years proven programming skills using standard ML tools such as C/C++, Python, PyTorch, Tensorflow, Hugging Face, etc.
  • Hands-on experience working (training, fine-tuning, optimizing, deploying) with large models (e.g. LLMs).
  • Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency
  • Publication at top ML/DL/NLP conferences such as NeurIPS, ACL, EMNLP, etc. is a plus.
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 $143,100 and $264,200, 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.