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- Tasks: Design and develop cutting-edge multi-agent AI systems with innovative capabilities.
- Company: Join Microsoft Research Cambridge's dynamic FAI team.
- Benefits: Gain hands-on experience in a leading tech environment with mentorship.
- Why this job: Make a real impact on the future of AI technology.
- Qualifications: PhD enrolment in relevant fields and experience in ML research.
- Other info: Open to applications until filled; diverse and inclusive workplace.
The predicted salary is between 500 - 1500 £ per month.
Overview Multi-agent AI systems are driving the growth of intelligence scaling and real-world impact. At Microsoft Research Cambridge, the future AI infrastructure (FAI) team is looking for two passionate research interns to explore future multi-agent AI systems together. This research internship is about ML and systems co-design. To build better multi-agent AI, we will explore what new capabilities are needed for future agent models, such as recursive LLMs, latent memory, and task planning. At the same time, we will look into innovative system designs like better agent-level parallelism, agent communication intensity, and distributed memory systems. With FAI team’s AI hardware innovations, the outcome of this work will lead to strong impact on future AI systems design through collaboration with other MSR research teams and Microsoft product teams.
Responsibilities
- Work on designing, training, fine-tuning modern LLM architectures using Pytorch and other relevant tools on GPU clusters.
- Work on post-training open-source models into agentic and/or recursive variants with emerging capabilities such as planning, state-tracking, and improved latent memory, potentially by using gradient-free methods such as evolution strategies.
- Work on multi-agent design and implementation, integrating system-level optimizations (e.g. shared latent KV-cache, agent-level parallelism) using relevant framework tools and inference backends like vLLM and SGLang.
Qualifications
Required/Minimum Qualifications:
- Being enrolled in a PhD program of computer science, artificial intelligence, machine learning, computer engineering, electrical and electronics engineering, or other related fields.
Other Requirements:
- Experience working on research projects related to ML and systems design.
- Experience in model post training, reinforcement learning / evolution strategies, or supervised fine tuning.
- Experience in building high-performance LLM inference systems using SGLang or vLLM.
Preferred/Additional Qualifications:
- Publications in top ML conferences and/or systems conferences.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Research Intern - Multi-Agent Systems in Cambridge employer: Microsoft Corporation
Contact Detail:
Microsoft Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Intern - Multi-Agent Systems in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Microsoft Research Cambridge. They can give you the inside scoop on what it’s really like and might even help you get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to ML and systems design. This is your chance to demonstrate your hands-on experience and creativity.
✨Tip Number 3
Ace that interview! Brush up on your technical knowledge, especially around LLM architectures and multi-agent systems. Be ready to discuss your past projects and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their applications.
We think you need these skills to ace Research Intern - Multi-Agent Systems in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight any relevant research projects or coursework in ML and systems design, as this will show us you're a great fit for the Research Intern position.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about multi-agent systems and how your background makes you the perfect candidate. We want to see your enthusiasm and understanding of the field!
Showcase Your Projects: If you've worked on any projects related to LLM architectures or multi-agent systems, be sure to mention them. Include links to your work or publications if possible, as this gives us a better idea of your capabilities and interests.
Apply Through Our Website: Don't forget to submit your application through our website! This ensures we receive all your materials properly and helps us keep track of your application. Plus, it's the best way to get your foot in the door with us at StudySmarter!
How to prepare for a job interview at Microsoft Corporation
✨Know Your Stuff
Make sure you brush up on the latest trends in multi-agent systems and machine learning. Familiarise yourself with concepts like recursive LLMs and agent-level parallelism. Being able to discuss these topics confidently will show your passion and understanding of the field.
✨Showcase Your Projects
Prepare to talk about your previous research projects, especially those related to ML and systems design. Highlight any experience you have with Pytorch, reinforcement learning, or building high-performance inference systems. Real examples will make your skills stand out!
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about the FAI team's current projects or future directions in multi-agent AI. This not only shows your interest but also helps you gauge if the role is the right fit for you.
✨Be Yourself
While it's important to be professional, don't forget to let your personality shine through. The team at Microsoft Research Cambridge is looking for passionate individuals who can contribute creatively. Be genuine and enthusiastic about your work and ideas!
