February 15, 2025

Machine Learning Engineer

Mid • On-site

$143,100 - $264,200/yr

Sunnyvale, CA

Summary

Posted:
Role Number:200591522
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 Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that 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

We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will extend to the design and development of a comprehensive data selection, curation and annotation framework for multimodal foundation models at apple. We are looking for people passionate about innovating and applying ML algorithms that enable us to create high-quality and impactful datasets. As part of this role, you will explore and research solutions that allow us to optimize the recipes for training foundation models at scale for various capabilities. You will also work on setting up comprehensive evaluation pipelines that allow us to measure and benchmark progress of foundation models.

Minimum Qualifications

  • BS and a minimum of 3 years relevant industry experience
  • Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
  • Deep understanding and expertise in multi-modal foundation models.
  • Staying on top of emerging trends in generative AI and multi-modal LLM.
  • Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.

Preferred Qualifications

  • Familiarity with end-to-end Machine Learning Lifecycle
  • Demonstrated evidence of prior experience and expertise in data-centric machine learning research
  • Strong problem-solving and communication skills.
  • Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas

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.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    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. Learn more about your EEO rights as an applicant.