We are seeking a Senior Applied ML Researcher to design, train, and deploy state-of-the-art models for visual and audio understanding. You will work on challenging problems at the intersection of computer vision, audio signal processing, and multimodal learning, enabling intelligent systems that can see, hear, and reason about the world.
You will collaborate closely with research scientists, engineers, and product teams to find novel applications of Deep Machine Learning capabilities to assist our creative user base. Your mission is to elevate the workflows of millions of creators by combining generative AI with Apple's human-centered design principles.

Description:

Design and train deep neural networks for video, image, audio, and audio-visual tasks.

Build models for audio-visual representation learning, cross-modal alignment, and fusion.

Develop solutions for tasks such as:

Video understanding and temporal modeling.

Audio-visual event detection.

Speech, sound, and scene understanding.

Multimodal classification, detection, and localization.

Preferred Qualifications:

PhD in computer science, machine learning, or a related field, or equivalent practical experience.

Publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, etc.)

Experience with self-supervised or foundation model pre-training

Open-source contributions in vision, audio, or multimodal AI

Bonus: Experience with Objective-C and/or Swift for on-device deployment

Minimum Qualifications:

MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience

4+ years of experience in deep learning or machine learning engineering

strong expertise in deep neural networks and modern training workflows

8 years + Hands-on experience with computer vision and/or audio modeling

Proficiency in Python and deep learning frameworks (Py Torch preferred)

Solid understanding of linear algebra, probability, and optimization

Ability to build intuition from problem statement and translate to dataset requirement, neural network design and loss functions

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 .

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 $181,100 and $318,400, 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.