AIML - Machine Learning Researcher, MLR

at  Apple

SUMMARY

Posted: Jun 14, 2024
Weekly Hours: 40
Role Number:200555287
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.

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.

• 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.
• Ability to formulate a research problem, design, experiment, implement and communicate solutions.
• Ability to work in a diverse collaborative environment.

PREFERRED QUALIFICATIONS

• PhD, or equivalent practical experience, in Computer Science, or a related technical field.

• 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.
• Ability to formulate a research problem, design, experiment, implement and communicate solutions.
• Ability to work in a diverse collaborative environment