Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Apple Machine Learning Engineer - LLMs & Generative AI 
United States, California, Cupertino 
765432813

31.08.2024
Description
As a Machine Learning Engineer on the Knowledge Platform team, you’ll join a phenomenal team of talented engineers and researchers and will be entrusted with a range of responsibilities. Your tasks will include:- Leading the exploration and application of Large Language Models and Generative AI, venturing into areas within these fields such as Question-Answering over structured databases.- Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences.- Actively engaging in all aspects of model development, from ideation and experimentation to deployment.
Minimum Qualifications
  • An advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field is preferred
  • Hands-on experience with LLM fine-tuning approaches and training models.
Preferred Qualifications
  • Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.
  • Published research in the field of Machine Learning or AI is highly desirable, indicating an ability to not only understand but also contribute to cutting-edge research.
  • Proven problem-solving and leadership abilities, with the capacity to steer the team’s research and practical applications in a collaborative and fast-paced environment.
  • In-depth experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI.
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.