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Home›Jobs›Apple›Machine Learning Engineer
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

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Apple

Machine Learning Engineer

Apple • Cupertino, California, United States

Posted 4 months ago🏛️ On-SiteMid-LevelMachine learning engineer📍 Cupertino
Apply Now →

Job Description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

Description

The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. We are looking for a highly skilled Machine Learning Engineer to build the processes to evaluate these experiences. A successful candidate is experienced in evaluating complex foundation model driven systems end-to-end, translating subjective product requirements into objective criteria, and has strong statistical analysis skills.

Minimum Qualifications

Master’s degree in Computer Science or other STEM majors 2+ years of hands-on industry experience with product focused statistical analysis for generative models Proficiency in Python and ML frameworks (Pytorch or Tensorflow)

Preferred Qualifications

PhD in Computer Science, Machine Learning, Statistics or a related technical field 5+ years of hands-on industry experience with product focused statistical analysis for generative models Experience with experimental design, A/B testing and Failure Analysis Proficiency in training and evaluation of foundation models and frameworks A track record of publications or technical presentations in Machine Learning journals or conferences Excellent at communication and cross functional collaboration

Responsibilities

Design and implement processes for evaluating multi-modal generative models for end-to-end product requirements. Work closely with ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models. Experimental design for testing models/systems under test Conduct robust statistical analysis to identify model deficiencies and failure states.

Eeo Content

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant.

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