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Apple
Cupertino, California, United States
(on-site)
Posted
19 days ago
Apple
Cupertino, California, United States
(on-site)
Job Function
IT/Software Development
Machine Learning Research Engineer, Generative AI
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Machine Learning Research Engineer, Generative AI
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionAs 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
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 $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. 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 .
Job ID: 80715719

Apple
Cupertino
,
California
,
United States
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
Every new product we invent, service we ...
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