AIML - Machine Learning Researcher, MLR

AIML - Machine Learning Researcher, MLR

Santa Clara Valley (Cupertino),California,United States

Machine Learning and AI

Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.

Key Qualifications

• Demonstrated expertise in machine learning research.

• Publication record in top machine learning, vision and NLP conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).

• Hands-on experience working with deep learning toolkits such as PyTorch.

• Strong mathematical skills in linear algebra and statistics.

• Ability to formulate a research problem, design, experiment, implement and communicate solutions.

• Ability to work in a diverse collaborative environment.

• Experience with generative models (energy based models, diffusion models, variational methods, autoregressive models) for vision, speech and language, large language models training, reinforcement learning etc is desirable

Description

In this position you will conduct cutting edge research in Machine Learning in collaboration with your colleagues in MLR. You will advance the state of the art in diverse topics such as generative models, language modeling, reinforcement learning, etc, by developing new techniques and demonstrating them on different domains such as speech, vision and language. An integral part of the job involves publishing of the results to top level ML conferences, and participating in the research community through conferences, workshops etc. You will also have the opportunity to collaborate with broader teams across Apple in the use of the latest ML techniques.

Education & Experience

PhD in Computer Science, or related technical field, with a well-established track record in publishing in top Machine Learning conferences like NeurIPS, ICML, ICLR, etc.

Additional Requirements

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 $170,700.00 and $300,200.00, 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.

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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. Learn more about your EEO rights as an applicant (Opens in a new window) .

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