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Research Intern - Foundation Models and Agentic Systems
United States, Washington, Redmond
·
On-site
·
Internship
·
2w ago
Overview:
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
The mission of the AI Frontiers Lab is to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on Small Language Models (e.g. Phi, Orca), agentic AI systems (e.g. Auto Gen, Magentic One, Omni Parser), new transformer architectures (e.g. Belief State Transformers) and optimizers for scalable Large Language Model (LLM) Training (e.g. Dion).
We are seeking a Research Intern to join our team and contribute to efforts on the advancement of Generative AI and Large Language Model Technologies. As a Research Intern, you will play a crucial role in developing, improving, and exploring the capabilities of LLMs and Multimodal AI models. Your work will have a significant impact on the development of cutting-edge technologies, advancing state-of-the-art and providing practical solutions to real-world problems.
Our ongoing research areas encompass but are not limited to:
- Reasoning method for LLMs and multimodal models.
- Orchestration and multi-agent systems: automated orchestration between multiple agents incorporating human feedback and oversight.
- Evaluation and Understanding of model and agent capabilities.
Responsibilities:
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.
Qualifications:
Required Qualifications
- Currently enrolled in a MS or PhD program in Computer Science or a related STEM field.
Other Requirements
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
Preferred Qualifications
- Demonstrated ability to develop original research agendas.
- Ability to collaborate effectively with other researchers and product development teams.
- Proficient interpersonal skills, cross-group, and cross-culture collaboration.
- Ability to think unconventionally to derive creative and innovative solutions.
Applied Sciences IC2 - The base pay range for this internship is USD $5,610 - $11,010 per month.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,270 - $12,030 per month.
Applied Sciences IC3 - The base pay range for this internship is USD $6,710 - $13,270 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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.
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Microsoftについて

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
従業員数
Redmond
本社所在地
$3000B
企業価値
レビュー
3.8
5件のレビュー
ワークライフバランス
4.1
報酬
4.3
企業文化
3.4
キャリア
3.2
経営陣
3.0
65%
友人に勧める
良い点
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
改善点
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
給与レンジ
5,620件のデータ
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Applied Science
1件のレポート
$234,166
年収総額
基本給
$180,128
ストック
-
ボーナス
-
$234,166
$234,166
面接体験
1件の面接
難易度
4.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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