AIML - Machine Learning Engineer, Visual Intelligence Technology

AIML - Machine Learning Engineer, Visual Intelligence Technology

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. In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence. We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos. We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals. As part of this team, you will explore how large-scale models can understand and reason about complex visual scenes, design and build large-scale training pipelines, and perform experiments at scales. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific LLMs for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Minimum Qualifications

• MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
• 5+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining
• Experience being a tech lead, and has been successfully leading a team to ship software to users
• Excellent knowledge and good practical skills in designing ML platforms, architectures or algorithms
• Strong interpersonal skills able to work independently as well as in a team

Preferred Qualifications

• 3+ years of experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs
• Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch…)

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 $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. 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.