Cambridge Internship in ML Model Optimization
Cambridge, Cambridgeshire, United Kingdom
Microsoft
Entdecken Sie Microsoft-Produkte und -Dienste für Ihr Zuhause oder Ihr Unternehmen. Microsoft 365, Copilot, Teams, Xbox, Windows, Azure, Surface und mehr kaufenJoin our Strategic Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems & Infrastructure (AHSI) organization and be a part of the organization behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. We are seeking a masters/PhD student to join us in Cambridge winter/spring 2025 to work on model compression and optimization for LLMs, covering topics such as post training quantization and quantization aware training. You will be joining a welcoming and highly interdisciplinary team and work on creative and challenging problems during your internship.
Responsibilities
- Research and develop quantization flow for LLM inference and training
- Design, implement and evaluate performance of quantized SOTA LLMs
- Write and present your findings in technical documents or presentations
Qualifications
Required/Minimum Qualifications:
- Be enrolled in Masters/PhD program in Computer Science/Machine Learning or related discipline
- Substantial experience quantization of LLMs, model compression
- Substantial knowledge in low-precision data type such as floating point, integer formats, block floats
Other Requirements:
- Cloud Background Check
Preferred/Additional Qualifications:
- PyTorch, Python, Hands-on experience in SW Tool development
- Outstanding communication skills
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Tags: Architecture Azure Computer Science LLMs Machine Learning PhD Python PyTorch Research
Perks/benefits: Career development Medical leave
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