AIML - Machine Learning Researcher
Cupertino, California, United States
Apple
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.Summary
Posted: Apr 25, 2024Weekly Hours: 40
Role Number:200548658
As part of Apple’s Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The ML Research Team does extraordinary research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more. The techniques and tools we build will change ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, hardworking engineers with a strong background in ML engineering and software development to join our team. In this position, you will work with researchers across the MLR group to build scalable, distributed training and research pipelines in the latest and greatest generative models, large language models, speech, federated learning and privacy.
Key Qualifications
- Proficiency in a programming language such as Python, Objective-C, C++, Swift, and/or R. Candidates should have experience completing a moderate-sized software project
- Proven ability to connect and collaborate with others
- Ideal candidates will also have academic, research, or proven experience in one of the following: Natural Language Processing, Neuroscience, Information Retrieval/Search, Optimization and Computer Vision.
Description
Our team focuses on new types of Machine Learning models and algorithms that work on sequential data such as language, conversations, speech and videos. It is composed of premier researchers with diverse experience in focus areas such as Deep Learning, Speech Recognition and Synthesis, Supervised, Semi-Supervised and Unsupervised Learning, Language Modeling (and conversational agents) and developing new ML Frameworks, among other things.
Education & Experience
Graduate degree or equivalent experience in a STEM field or equivalent industry experience in software engineering
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 $138,900.00 and $208,300.00, 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 take affirmative action to ensure 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.
Tags: ASR Computer Vision Deep Learning Engineering Generative modeling LLMs Machine Learning ML models NLP Pipelines Privacy Python R Research STEM Unsupervised Learning
Perks/benefits: Career development Health care Relocation support
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