Senior Machine Learning Engineer/Scientist

1 day ago


Cupertino, California, United States Apple Full time
Job Summary

We are seeking a highly skilled Senior Machine Learning Engineer/Scientist to join our AIML Information Intelligence team at Apple. As a key member of our team, you will be responsible for developing and implementing cutting-edge machine learning and deep learning technologies to improve query understanding and ranking of search.

Key Responsibilities
  • Develop sophisticated machine learning models using word embeddings and deep learning to understand query quality and intent.
  • Work with researchers and data scientists to develop, fine-tune, and evaluate domain-specific Large Language Models for various tasks and applications in Apple's AI-powered products.
  • Conduct applied research to transfer cutting-edge research in generative AI to production-ready technologies.
  • Collaborate with cross-functional teams to integrate search functions into Apple products, such as Siri, Spotlight, Safari, Messages, and Lookup.
  • Build end-to-end production systems, including query understanding and ranking, to power search.
Requirements
  • Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing, or data mining.
  • Proficiency in one of the following languages: Python, Go, Java, C++.
  • Excellent knowledge and practical skills in major machine learning algorithms.
  • Good interpersonal skills and team player.
Preferred Qualifications
  • MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science, or related field.
What We Offer

At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, and commission payments. You'll also receive benefits, including comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services.

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.



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