Apple - Sunnyvale, CA

posted 3 months ago

Full-time - Mid Level
Sunnyvale, CA
Computer and Electronic Product Manufacturing

About the position

The Machine Learning Scientist/Engineer position at Apple focuses on building groundbreaking Machine Learning (ML) technologies that have a real-world impact. The Applied Machine Learning (AML) Data Science team is composed of innovative ML scientists from diverse disciplines, all with extensive track records in both academia and industry. As part of this team, ML Scientists work on high-impact projects, developing powerful machine learning models that serve various Apple lines of business and enhance end-user experiences. This role presents an opportunity to engage in pioneering AML work that will shape the industry landscape. In this position, the ML Scientist will tackle real-world business problems through machine learning and computer vision. The responsibilities include devising models and ML approaches to solve these problems and achieve business KPIs, as well as working with large-scale datasets and engaging in intensive hands-on code development. Close collaboration with business teams is essential to articulate research methodologies and results, while also partnering with engineering teams to integrate and deploy ML models that deliver exceptional user experiences. The ideal candidate will demonstrate accountability for their work, possess a passion for product ownership, and have a proven track record in product development, which will be critical for success in this role. The position requires a creative problem solver with deep expertise in machine learning, algorithms, and optimization. The ML Scientist will collaborate with talented colleagues to brainstorm new ideas and develop models and algorithms that address ambitious challenges with substantial impacts.

Responsibilities

  • Solve real-world business problems through machine learning and computer vision.
  • Devise models and ML approaches to achieve business KPIs.
  • Work with large-scale datasets and engage in hands-on code development.
  • Collaborate with business teams to articulate research methodologies and results.
  • Partner with engineering teams to integrate and deploy ML models.
  • Develop pioneering machine learning algorithms for current and future products and services.

Requirements

  • 7+ years of industry experience with a Bachelor's in Computer Science, engineering, or a similar foreign degree.
  • Experience in one or more ML areas: Computer Vision, NLP, GenAI, AR/VR, Document Intelligence, or similar areas.
  • Hands-on experience in algorithm design, modeling, or quantitative analysis.
  • Experience implementing end-to-end machine learning projects.
  • Familiarity with deep learning frameworks such as PyTorch, TensorFlow, and Keras.
  • Experience with optimization, approximation algorithms, and deep learning techniques.

Nice-to-haves

  • An Advanced Degree, Ph.D. with 1+ year or Master's with 3+ years of experience in a quantitative field focused on machine learning.
  • Proficiency in Python.

Benefits

  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Discretionary bonuses or commission payments may be available.
  • Relocation assistance may be provided.
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