Job Details

Role Number: 200628549-3401

Summary

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence Machine Learning (SIML) organization is looking for a Machine Learning Research Engineer with a strong foundation in Machine Learning and Computer Vision to develop next generation multi-modal human sensing technologies. We work at the core of Apple Intelligence across modalities such as vision, language, gesture, gaze, touch, etc. to enable highly intuitive and personalized intelligence experiences across the Apple ecosystem.

You will be part of a fast-paced, impact-driven Applied Research organization working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms, including Apple Intelligence, Camera, Photos, Visual Intelligence, and more. Come join the team building the next generation of Apple Intelligence!

SELECTED REFERENCES TO OUR TEAM’S WORK:
https://www.youtube.com/watch?v=GGMhQkHCjxo&t=255s
https://support.apple.com/guide/iphone/use-visual-intelligence-iph12eb1545e/ios

Description

This role requires experience in vision-language models, and ability to fine-tune/adapt/distill multi-modal LLMs. As a Machine Learning Research Engineer, you will help design and develop models and algorithms for multimodal perception and reasoning leveraging Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs). You will collaborate with expert researchers and engineers to explore new techniques, evaluate performance, and translate product needs into impactful ML solutions. Your work will contribute directly to user-facing features across billions of devices.

Minimum Qualifications

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field; or relevant proven experience

• Proficiency in Python and deep learning frameworks such as PyTorch

• Practical experience with training and evaluating neural networks

• Familiarity with multimodal learning, vision-language models, or large language models

• Strong problem solving skills and ability to work in a collaborative, product-focused environment

• Ability to communicate technical results clearly and concisely

Preferred Qualifications

• Proven track record of research contributions demonstrated through publications in top-tier conferences and journals

• Background in multi-modal reasoning, VLM, and MLLM research with impactful software projects

• Solid understanding of natural language processing (NLP) and computer vision fundamentals

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 $147,400 and $272,100, 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .