<b>Overview</b><br><div><p><strong><span xml:lang="EN-US" data-contrast="auto">Microsoft Research (MSR)</span><span xml:lang="EN-US" data-contrast="auto"> </span><span xml:lang="EN-US" data-contrast="auto">AI Frontiers</span></strong><span xml:lang="EN-US" data-contrast="auto"> is inviting applications for a</span><span xml:lang="EN-US" data-contrast="auto"> <strong>Senior Researcher</strong> to</span><span xml:lang="EN-US" data-contrast="auto"> join our team. </span><span data-ccp-props="{}"> </span></p></div><div><p><span data-ccp-props="{}"> </span></p></div><div><p><span xml:lang="EN-US" data-contrast="auto">At </span><span xml:lang="EN-US" data-contrast="auto">MSR AI Frontiers</span><span xml:lang="EN-US" data-contrast="auto">, we pursue ambitious research to advance AI in areas such as modeling, algorithms, agents, and agentic systems. We foster a vibrant environment for multidisciplinary work with an open publication policy, close ties to leading academic institutions, and a commitment to impact beyond research. We regularly release open-source models, libraries, and tools to accelerate community progress, while also working within Microsoft’s ecosystem to ship AI technologies across multiple products, ensuring our innovations create real-world value for people.</span><span data-ccp-props="{}"> </span></p></div><div><p><span data-ccp-props="{}"> </span></p></div><div><p><span xml:lang="EN-US" data-contrast="auto">We are seeking exceptional candidates to advance the state-of-the-art in agentic systems and ecosystems. Relevant projects from our lab include agentic systems (e.g., </span><a href="https://www.microsoft.com/en-us/research/publication/orca-progressive-learning-from-complex-explanation-traces-of-gpt-4/" target="_blank" rel="noreferrer noopener"><span data-ccp-charstyle="Hyperlink">Magentic-UI</span></a><span xml:lang="EN-US" data-contrast="auto">, </span><a href="https://aka.ms/magentic-one-blog" target="_blank" rel="noreferrer noopener"><span data-ccp-charstyle="Hyperlink">Magentic-One</span></a><span xml:lang="EN-US" data-contrast="auto">), ecosystems (e.g., </span><a href="https://aka.ms/magentic-marketplace-blog" target="_blank" rel="noreferrer noopener"><span data-ccp-charstyle="Hyperlink">Magentic Marketplace</span></a><span xml:lang="EN-US" data-contrast="auto">), frameworks (e.g., </span><a href="https://devblogs.microsoft.com/autogen/autogen-reimagined-launching-autogen-0-4/" target="_blank" rel="noreferrer noopener"><span data-ccp-charstyle="Hyperlink">AutoGen</span></a><span xml:lang="EN-US" data-contrast="auto">), models (e.g., </span><a href="https://www.microsoft.com/en-us/research/publication/phi-4-reasoning-technical-report/" target="_blank" rel="noreferrer noopener"><span data-ccp-charstyle="Hyperlink">Phi</span></a><span xml:lang="EN-US" data-contrast="auto">, </span><a href="https://www.microsoft.com/en-us/research/publication/orca-progressive-learning-from-complex-explanation-traces-of-gpt-4/" target="_blank" rel="noreferrer noopener"><span data-ccp-charstyle="Hyperlink">Orca</span></a><span xml:lang="EN-US" data-contrast="auto">) and tools (e.g., </span><a href="https://arxiv.org/abs/2407.03502" target="_blank" rel="noreferrer noopener"><span data-ccp-charstyle="Hyperlink">AgentInstruct</span></a><span xml:lang="EN-US" data-contrast="auto">, </span><a href="https://microsoft.github.io/autogen/0.2/blog/2023/12/01/AutoGenStudio/" target="_blank" rel="noreferrer noopener"><span data-ccp-charstyle="Hyperlink">AutoGen Studio</span></a><span xml:lang="EN-US" data-contrast="auto">).</span><span data-ccp-props="{}"> </span></p></div><div><p><span data-ccp-props="{}"> </span></p></div><div><p><span xml:lang="EN-US" data-contrast="auto">Focus areas for this position include, but are not limited to, the following:</span><span data-ccp-props="{}"> </span></p></div><div><ul><li><span xml:lang="EN-US" data-contrast="auto">Agentic Systems.</span><span xml:lang="EN-US" data-contrast="auto"> Building state-of-the-art agentic systems, applications, and environments.</span> </li><li><span xml:lang="EN-US" data-contrast="auto">Agent Ecosystems.</span><span xml:lang="EN-US" data-contrast="auto"> Building agent-native ecosystems (e.g., frontier firms, agentic markets) where agents can effectively collaborate alongside people and other agents.</span> </li><li><span xml:lang="EN-US" data-contrast="auto">Advanced Agentic Capabilities.</span><span xml:lang="EN-US" data-contrast="auto"> Post-training models for advanced agentic capabilities, including reinforcement learning, fine-tuning, self-play, and synthetic data generation.</span> </li><li><span xml:lang="EN-US" data-contrast="auto">Human-Agent Interaction.</span><span xml:lang="EN-US" data-contrast="auto"> Creating novel human-agent interaction techniques and experiences.</span> </li><li><span xml:lang="EN-US" data-contrast="auto">Evaluation & Tooling.</span><span xml:lang="EN-US" data-contrast="auto"> Developing evaluation benchmarks, methods, and tooling for agentic capabilities.</span> </li><li><span xml:lang="EN-US" data-contrast="auto">Responsible AI.</span><span xml:lang="EN-US" data-contrast="auto"> Ensuring agents operate safely and responsibly while delivering real value to people.</span><span data-ccp-props="{}"> </span></li></ul></div><div><p><span data-ccp-props="{"335559685":720}"> </span></p></div><div><p><span xml:lang="EN-US" data-contrast="auto">As a </span><strong><span xml:lang="EN-US" data-contrast="auto">Senior Researcher</span></strong><span xml:lang="EN-US" data-contrast="auto"><strong> </strong>on our team, you will work hands-on on challenging and impactful projects. You will apply your strong technical skills and expertise to build practical solutions to real world problems. Additionally, you will collaborate closely with other researchers and engineers across the company to amplify your impact and grow your career in a supportive and stimulating environment.</span><span data-ccp-props="{}"> </span></p></div><br><br><b>Responsibilities</b><br><div><ul><li><span xml:lang="EN-US" data-contrast="auto"><strong>Outcome Driven Innovation-</strong> </span><span xml:lang="EN-US" data-contrast="auto">The ability to strategically recognize and address unmet needs in industry or knowledge and to create novel, practical, and effective solutions to these unmet needs. This involves the ability to work backwards in research and development, focusing more heavily on the problem to lead to a solution rather than creating something highly original but lacking in application potential.</span> </li><li><span xml:lang="EN-US" data-contrast="auto"><strong>Collaborative Innovation-</strong> </span><span xml:lang="EN-US" data-contrast="auto">Knowledge of others' expertise and the ability to involve multiple players (within and outside the organization) in the creation or development of novel products, processes, or research streams.</span> </li><li><strong><span xml:lang="EN-US" data-contrast="auto">Problem Solving- </span></strong><span xml:lang="EN-US" data-contrast="auto">The ability to identify problems and review related information to develop and evaluate options and implement solutions.</span> </li><li><strong><span xml:lang="EN-US" data-contrast="auto">Decision Making- </span></strong><span xml:lang="EN-US" data-contrast="auto">The ability to make decisions in a fast-paced, rapidly changing environment. This includes the ability to define, diagnose, and determine an appropriate resolution, recommendation, or decision while considering alternatives and factors (e.g., resources, costs, tradeoffs).</span> </li><li><strong><span xml:lang="EN-US" data-contrast="auto">Scientific Method- </span></strong><span xml:lang="EN-US" data-contrast="auto">Knowledge of and the ability to use an empirical method of acquiring knowledge. This involves careful observation, applying rigorous skepticism about what is observed, formulating a question or hypothesis, testing the hypothesis through experimentation, drawing conclusions, reporting results, and evaluating the process and retesting the hypothesis.</span><span data-ccp-props="{"469777462":[720],"469777927":[0],"469777928":[8]}"> </span></li></ul></div><br><br><b>Qualifications</b><br><p>Required Qualifications:</p><ul><li><span xml:lang="EN-US" data-contrast="auto">Doctorate (or currently pursuing) in Computer Science or related fields</span><span data-ccp-props="{"201341983":0,"335559739":160,"335559740":259}"> </span><ul><li><span xml:lang="EN-US" data-contrast="auto">OR equivalent experience</span><span data-ccp-props="{"201341983":0,"335559740":259}"> </span></li></ul></li></ul><p><span data-ccp-props="{"201341983":0,"335559740":259}"><span style="list-style-type: disc;" xml:lang="EN-US" data-contrast="none"><span data-ccp-parastyle-defn="{"ObjectId":"dff0ac53-c08a-53af-8c37-6898e9240927|1","ClassId":1073872969,"Properties":[201342446,"1",201342447,"5",201342448,"1",201342449,"1",469777841,"Calibri",469777842,"Calibri",469777843,"Calibri",469777844,"Calibri",201341986,"1",469769226,"Calibri",268442635,"22",469775450,"x_msonormal",201340122,"2",134233614,"true",469778129,"xmsonormal",335572020,"1",335559740,"240",201341983,"0",335559739,"0",469778324,"Normal"]}" data-ccp-parastyle="x_msonormal">Preferred Qualifications:</span></span></span></p><ul><li><span data-ccp-props="{"201341983":0,"335559740":259}"><span style="list-style-type: disc;" xml:lang="EN-US" data-contrast="none"><span data-ccp-parastyle-defn="{"ObjectId":"dff0ac53-c08a-53af-8c37-6898e9240927|1","ClassId":1073872969,"Properties":[201342446,"1",201342447,"5",201342448,"1",201342449,"1",469777841,"Calibri",469777842,"Calibri",469777843,"Calibri",469777844,"Calibri",201341986,"1",469769226,"Calibri",268442635,"22",469775450,"x_msonormal",201340122,"2",134233614,"true",469778129,"xmsonormal",335572020,"1",335559740,"240",201341983,"0",335559739,"0",469778324,"Normal"]}" data-ccp-parastyle="x_msonormal">Publication record as a lead author or essential contributor at top venues such as: CHI, NeurIPS, UIST, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, ICAPS. </span></span></span></li><li>Doctorate in Computer Science or relevant field AND 2 years related research experience <ul><li>OR equivalent experience. </li></ul></li><li>Hands-on experience working with large foundation models (e.g., OpenAI GPT models, LLAMA etc) and state-of-the-art AI/ML frameworks and toolkits (e.g., Pytorch, Tensorflow, Langchain, AutoGen). </li><li><span xml:lang="EN-US" data-contrast="auto">Demonstrated software engineering experience building and deploying prototypes, applications, or open-source technologies. Providing a link to GitHub profile (if available) and/or code samples, is highly encouraged. </span> </li><li><span xml:lang="EN-US" data-contrast="auto">Hands-on experience evaluating AI models or systems (e.g., running benchmark experiments or user studies, analyzing data).</span> </li><li><span xml:lang="EN-US" data-contrast="none">Experience working in multi-disciplinary teams along with a team player mindset, characterized by effective communication, collaboration, and feedback skills.</span> </li><li><span xml:lang="EN-US" data-contrast="auto">Reference letters are welcomed, though they are not mandatory. Please include them if available.</span><span data-ccp-props="{"201341983":0,"335559739":160,"335559740":259}"> </span></li></ul> <br><br><p>Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. 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 $158,400 - $258,000 per year. <p></p> <p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br/><a href='https://careers.microsoft.com/us/en/us-corporate-pay'>https://careers.microsoft.com/us/en/us-corporate-pay</a></p></p><br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><hr><br><p>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 <a href="https://careers.microsoft.com/v2/global/en/accessibility.html"><b><u>requesting accommodations.</u></b></a></p>