AIML - ML Researcher (LLM / Generative Foundation Models), MLR
at Apple
Cambridge, England, United Kingdom -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 21 Aug, 2024 | Not Specified | 22 May, 2024 | N/A | Statistics,Computer Science,Linear Algebra,Design,Collaborative Environment | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
SUMMARY
Posted: 17 May 2024
Role Number:200521140
Play a part in building the next revolution of machine learning technology. We’re looking for a passionate 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 focusing on LLMs and generative foundation models. 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 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.
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
ADDITIONAL REQUIREMENTS
Additional Requirement
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Cambridge, United Kingdom
