Summary
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 through publication and cross-team collaborations.

As a member of Apple Machine Learning Research (MLR), you will have the freedom to define your own research agenda, work on open-ended problems and publish in high-quality scientific venues, while having access to real-world problems and data through Apple's product teams. Within MLR, our team is currently interested in large generative models for vision and language, with particular interests in fairness, reasoning, robustness, efficiency, and uncertainty in such models.

Key Qualifications
Demonstrated expertise in machine learning research.

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.

In-depth understanding of modern machine learning techniques.

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

Ability to work in a diverse collaborative environment.

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 propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. 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.

Education & Experience
PhD, or equivalent practical experience, in Computer Science, or related technical field.

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