Machine Learning Engineer - Generative AI , SIML

Are you interested in creating products that use machine learning and computer vision in novel and interactive ways? Are you looking to apply your expertise to produce transformative features like Image Playground, Live Text, and Scribble? Do you want to use and build generative models to create highly visible products that are getting into the hands of hundreds of millions of users? We are an applied machine learning team seeking a motivated research engineer to help develop the future of ML models to power products around text, image, and freeform drawing recognition and generation. We work closely with diverse teams throughout Apple.

Description

As a member of the team you will have an impact by bringing innovative ideas to our next generation of products, applying modern machine learning methods to solve problems that matter. The work spans the entire product life cycle from project inception to shipping models on billions of devices. We are seeking an engineer who will be responsible for prototyping new features as well as contributing to the overall design and development of existing components. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems

Preferred Qualifications

Industry experience in applying ML to solve product needs

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

Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or SwiftProficiency with Unix, iOS, or macOS development

Minimum Qualifications

PhD or equivalent experience in Computer Science, Computer Engineering or a closely related field

Experience with generative AI for images, text, or multi-modal data

Strong programming, debugging, and design skills

Experience building ML models using modern deep learning toolchains such as PyTorch or JAX

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 $147,400 and $220,900, 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.