SUMMARY

Posted: Nov 9, 2024
Weekly Hours: 40
Role Number:200577866
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 - LLMs, Reasoning, Chain of Thought, Diffusion Language Models, Audio Generative Models, Speech Generative Models, and Speech 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

Please refer the Job description for details