Microsoft

Overview
Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.
As an Applied Science Intern at Microsoft, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services. You'll gain expertise in cutting-edge research areas, apply advanced concepts to real-world needs, and use state-of-the-art tools to make a tangible impact on product quality and business outcomes. You'll contribute to the creation of intelligent solutions through data analysis, modeling, and machine learning, ensuring our products remain at the leading edge of innovation.
At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 Responsibilities 
<ul>
<li>Contribute in the development of state-of-the-art techniques advancing the capabilities of Microsoft 365 Copilot, with a particular emphasis on graph-based information retrieval, contextualization and personalization, LLM prompt engineering, LLM post-training, synthetic data generation, and LLM-based evaluation.</li>
<li>Gain a deep understanding of your area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.</li>
<li>Systematically document and analyze proposed methodologies with the aim of producing technical reports to share with your team and partners.</li>
<li>Contribute to the development of scalable with the goal of creating prototypes for enhancing the Microsoft 365 user experience.</li>
<li>Assist with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation.</li>
</ul>
Qualifications
Required Qualifications
<ul>
<li>You must be legally authorised to work in the United Kingdom to be eligible for this role. (Legally authorised = has citizenship or has been granted a valid visa or work permit)</li>
<li>Currently pursuing a Bachelor's or a Master’s degree in Computer Science, Electrical or Computer Engineering, Artificial Intelligence or a related field OR currently pursuing a PhD with a relevant project</li>
<li>Demonstrated interest in research or applied AI (e.g., academic projects, open-source contributions).</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.</li>
</ul>
#EiP
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**.**

Applied Sciences Intern

Applied Sciences Intern

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