Machine Learning Research Engineer, Generative AI

Machine Learning Research Engineer, Generative Ai

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. Are you interested in applying machine learning and generative AI technologies to create innovative user experiences? Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in Cupertino, California, part of the Input Experience group that is responsible for building machine learning technologies that enable magical user experiences like Math Notes, Smart Script, and Scribble. We are seeking an outstanding Machine Learning Engineer to help build our next generation of products.

As a member of the team you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve problems that matter. From ideation to productization, you will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems.

Minimum Qualifications:

• PhD or MSc in Computer Science, Computer Engineering or a closely related field.
• Industry experience in building product features based on ML including generative models or multimodal LLMs
• Experience with image processing, computer vision, speech recognition, or natural language processing
• Proven track record of programming, debugging, and design skill

Preferred Qualifications:

• Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift
• Experience with common ML toolchain such as PyTorch, TensorFlow, or JAX
• Proficiency with Unix, iOS, or macOS development
• Excellent problem solving, critical thinking, and interpersonal skills
• Ability to produce creative and innovative solutions to challenging problems
• Enthusiastic about building end-to-end experiences using machine learning
• High-quality communication skills and ability to work through ambiguity

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.

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.