AIML - Machine Learning Researcher, Foundation Models

Apple Inc.; Cupertino (CA); Hybrid; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Stock programs

Tuition reimbursement

Job summary

Apple Inc. is seeking an AIML - Machine Learning Researcher to work on foundation models in Cupertino, focused on training, evaluation, and integration with Apple OS experiences.

The role spans pre-training foundation models and mid-training approaches tailored for privacy, personalization, and seamless OS integration. You will contribute to vision-language modeling, data pipelines, and evaluation suites for visual understanding and generation at scale, collaborating with world-class engineers

Qualifications

• Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, KDD, ACL) or a track record in applying deep learning techniques to products.
• Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
• Ability to work in a collaborative environment.
• PhD, or equivalent practical experience, in Computer Science, or related technical field.

Skills

Deep learning expertise

Python & DL frameworks

Collaborative work style

PhD or equivalent in CS

Education

PhD or equivalent in CS

Job description

AIML - Machine Learning Researcher, Foundation Models

Cupertino, California, United States Machine Learning and AI

We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team

Description

We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including vision-language modeling, image and video generation, and Building data pipelines and evaluation suites for visual understanding and generation at scale.

Minimum Qualifications

• Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, KDD, ACL) or a track record in applying deep learning techniques to products


• Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow


• Ability to work in a collaborative environment.


• PhD, or equivalent practical experience, in Computer Science, or related technical field.

Preferred Qualifications

• Experience training or adapting vision-language models


• Experience with image/video generation or editing


• Post-training, mid-training large language models or multimodal models.


• Reinforcement learning, on-policy distillation.


• Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of billions of users.

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 $150,400 and $277,600, 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 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.