Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Apple Machine Learning Research Engineer Apple Intelligence NLG 
United States, Washington, Seattle 
392481410

19.12.2024
Minimum Qualifications
  • Strong machine learning fundamentals
  • Strong programming and communication skills
  • Ph.D. in CS/EE/Physics/Statistics/etc. (or Bachelor/Master with 2 years of industry experience)
Preferred Qualifications
  • Actively exercising machine learning techniques, including implementing basic optimizers and regularizations; formulating and implementing loss functions for given tasks, applying insightful parameter tuning in model training and evaluation, reproducing and revising state-of-the-art research experiments; addressing accuracy and performance bottlenecks in distributed training and inference, and benchmarking different model compressing methods
  • Actively programming with high-quality codes across complex and large repositories, including implementing new optimizer or loss functions, algorithm optimizations for critical performance or accuracy, refactoring or redesigning of existing code-base for improved robustness and flexibility, processing large data set efficiently and accurately, establishing automated synthesis/training/evaluation pipeline across multiple sets of internal and external APIs, and applying common object-oriented design patterns
  • Familiar with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier etc
  • Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely
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 $135,400 and $250,600, 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.