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Apple Machine Learning Applied Scientist 
United States, Washington, Seattle 
41512248

13.06.2024
Description
You will lead the design and development of generative AI solutions. Utilize established techniques and, when necessary, build custom algorithms to solve sophisticated challenges effectively. You will work cross-functionally to seamlessly integrate and deploy robust ML applications in a production environment.
Key Qualifications
  • 5+ years of industry or strong academic experience in CVML
  • Experience with state-of-the-art Generative AI models, Multi-modal LLMs, contrastive learning, Foundation models, and/or Diffusion-based large vision models
  • Strong understanding of Python, and proficiency using ML toolkits, e.g., PyTorch
  • Strong software engineering skills to build scalable and robust infrastructure for deep learning data, modeling, and evaluation systems
  • Comfortable researching current ML literature and math including optimization methods and modeling techniques
  • Experience in the transition of a prototype into a final product
  • Excellent communication and collaboration skills in a cross functional setting.
Education & Experience
BS and a minimum of 3 years relevant industry experience
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 $131,500 and $243,300, 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.