Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

Apple Machine Learning Engineer Applied 
United States, California, Sunnyvale 
774499482

06.06.2024
Description
You will work with existing and new model evaluate them, fine tune them come up with use cases to solve business problems.
Key Qualifications
  • Solid understanding of machine learning, deep learning (including LLMs) and natural language processing.
  • Preparing and collecting data for training/analysis and ensuring data quality.
  • 5+ years proven programming skills using standard ML tools such as C/C++, Python, PyTorch, Tensorflow, HuggingFace, etc.
  • Hands-on experience working (training, fine-tuning, optimizing, deploying) with large language models
  • Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency
  • Experience with vector stores, ranking and retrieval techniques is a plus.
  • Experience in applying ML techniques in developer productivity is a plus
Education & Experience
Bachelors or MS in Computer Science or equivalent with Artificial Intelligence, Machine Learning, Data Science or related field
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 $138,900 and $256,500, 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.