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- Tasks: Join a vibrant team to drive impactful machine learning research and solve real-world problems.
- Company: Microsoft Research Cambridge, a leader in responsible AI and innovative technology.
- Benefits: Collaborative environment, unique interdisciplinary opportunities, and a commitment to scientific excellence.
- Other info: Open for applications until filled; Microsoft values diversity and inclusion.
- Why this job: Make a difference in AI while working with world-class researchers in a dynamic setting.
- Qualifications: PhD in ML or related field, strong communication skills, and expertise in machine learning.
The predicted salary is between 36000 - 60000 £ per year.
The Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in correctness, capability, and efficiency, and we are deeply engaged in collaborations that build on these foundations for systems, the sciences, and human-centred AI. We seek a highly collaborative researcher with expertise in one or more core areas of ML, strong communication skills, and a commitment to impactful research. We offer a vibrant environment for researchers with unique opportunities to collaborate across disciplines and teams.
Duration: 2 Years
Location: Cambridge, UK
Responsibilities
- Contribute to ML research projects within Machine Intelligence and other teams across MSR.
- Collaborate and foster a culture of innovation with a team of world-class researchers and scientists to explore and solve fundamental problems in ML, with a focus on generating impactful, cross-disciplinary applications.
- Translate theoretical AI concepts into tangible solutions and methodologies that address complex issues within various fields of study and industry sectors.
- Disseminate research findings through publications, conference presentations, and engagements with the broader scientific community.
Qualifications Required
- A PhD in a relevant field (e.g. ML, Computer Science, Mathematics, Physics).
- Expertise in one or more sub-fields of ML, evidenced by top-tier publications and/or experience.
- Ability to clearly communicate your research to a diverse audience.
Preferred
- Broad ML education and experiences, covering, for example: statistical methods, probabilistic modelling, RL, deep learning, LLM training.
- Strong ML coding and engineering skills.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Post-Doc in Machine Learning, Machine Intelligence employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Post-Doc in Machine Learning, Machine Intelligence
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field, attend relevant meetups or conferences, and don’t be shy about introducing yourself. You never know who might have a lead on that perfect post-doc position!
✨Tip Number 2
Show off your expertise! Prepare a portfolio of your research, publications, and projects that highlight your skills in ML. When you get the chance to chat with potential employers, make sure to discuss how your work aligns with their goals.
✨Tip Number 3
Practice your pitch! Be ready to explain your research and its impact in a clear and engaging way. Tailor your message to resonate with different audiences, whether they’re fellow researchers or industry professionals.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your talents. Plus, it’s a great way to ensure your application gets the attention it deserves!
We think you need these skills to ace Post-Doc in Machine Learning, Machine Intelligence
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your expertise in machine learning and how it aligns with our team's focus. We want to see how your unique skills can contribute to our collaborative environment.
Showcase Your Research Impact: When detailing your past research, emphasise the impact of your work. We love seeing how your contributions have made a difference in the field, so don’t hold back on sharing those success stories!
Communicate Clearly: Strong communication skills are key for us. Make sure your application reflects your ability to convey complex ideas simply and effectively. This will help us see how you can engage with diverse audiences.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at MSR Cambridge!
How to prepare for a job interview at Microsoft
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially in the areas mentioned in the job description. Be ready to discuss your past research and how it aligns with their focus on responsible AI and impactful applications.
✨Show Off Your Collaboration Skills
Since collaboration is key for this role, think of examples from your past experiences where you worked effectively in a team. Be prepared to share how you fostered innovation and tackled challenges together with others.
✨Communicate Clearly
Practice explaining your research in simple terms. You might be asked to present complex ideas to a diverse audience, so being able to break down your work will show that you can engage with various stakeholders.
✨Prepare for Technical Questions
Expect some technical questions related to your coding and engineering skills in ML. Brush up on relevant programming languages and frameworks, and be ready to demonstrate your problem-solving approach through practical examples.