Senior Applied ML Researcher - Video Apps

Socket.dev; Cupertino (CA); On-site; USD 184,700 - 324,800; Full time

Job summary

Apple Inc. in Cupertino is seeking a Senior Applied ML Researcher to design, train, and deploy state‑of‑the‑art models for video, audio, and multimodal tasks.

You will work closely with research scientists, engineers, and product teams to enable intelligent systems that can see, hear, and reason about the world. Design and train deep neural networks for video, image, audio, and audio‑visual tasks, and build models for cross‑modal alignment and fusion.

Qualifications

• MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• PhD preferred for advanced research roles.
• Strong fundamentals in ML and CV/Audio modeling.

Responsibilities

• Design and train deep neural networks for video, image, audio, and audio-visual tasks.
• Develop models for cross-modal representation learning and fusion.
• Collaborate with researchers, engineers, and product teams to deploy solutions.

Skills

Python

PyTorch

Deep learning

Computer vision

Audio modeling

ML engineering

Numerical optimization

Mathematics

Team collaboration

Education

MS in Computer Science, Machine Learning, or related field

PhD in computer science, machine learning, or related field

Tools

PyTorch

NumPy

Job description

Senior Applied ML Researcher - Video Apps

Cupertino, California, United States Software and Services

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

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 (PyTorch 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

Preferred Qualifications

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

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 $184,700 and $324,800, 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.

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.

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.

Apple accepts applications to this posting on an ongoing basis.