Play a part in building the next revolution of machine learning technology. We're looking for passionate junior and mid-level 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.
Description
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will advance the frontier of machine learning through a combination of self-directed research - proposing your own research ideas and demonstrating their feasibility, and collaborative research working with your colleagues on larger problems, sharing implementation and experimentation. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
Minimum Qualifications
Demonstrated expertise in machine learning research working on at least some of the following topics - Reinforcement Learning, LLMs training, LLMs test-time adaptation/scaling, Reasoning/Planning, Diffusion Language Models, Audio Generative/Recognition Models, and Multimodal generative models.
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc)
Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch.
Strong mathematical skills in linear algebra and statistics.
Preferred Qualifications
Ability to formulate a research problem, design, experiment, implement and communicate solutions.
Ability to work in a diverse collaborative environment.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Hands on experience on at least some of the following: Torch Titan or Lingua, Sharded models, FSDP, DDP, fine-tuning pipelines for common models such as Llama, Mixtral, etc
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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
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Apple accepts applications to this posting on an ongoing basis.