{"id":2440865,"url":"https://alion.io/job/microsoft-applied-sciences-intern-2","title":"Applied Sciences INTERN","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":77,"open_postings":216,"ghost_share":0,"stale_share":0.912,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":74000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":768},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Copilot","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qwen","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-10-13T10:15:52Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-20T03:53:46Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"OverviewMicrosoft Teamsis the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe.\nWe are looking to hire a PhD (or published MSc) candidate for a part-time internship to join CMD Labs- an applied science team within Microsoft Teams - to work on improving collaborative agents by applying existing or novel research.\nOur flagship AI application for Teams is the Copilot agent that works in multi-party collaborative settings (meetings, group chats, channels) and enables groups of humans and agents to more efficiently achieve their shared goals. While most human/agent interactions are textual, within live Teams meetings the agent also interacts in real time via speech. Unlike personal agents (both audio and text), multi-party collaborative agents are faced with significant challenges in implicit context understanding, proactivity, and conversational capabilities.\nThe intern will be onboarded to our current research directions, and to our non-confidential datasets and related code, and work on improving the existing algorithms as well as proposing novel solutions, in any of the following topics:\nTraining/fine-tuning speech-enabled models(e.g. Qwen-omni-8) to support speech in multi-party settings such as business meetings.\n\nImprove and devise new methodologies for evaluation of audio/text collaborative agents.\n\nImprove and devise better RL recipesfor training/fine-tuning collaborative models including synthetic data generation, and the development and calibration of graders.\n\nGiven substantial scientific novelty of the approach and results, collaboration on a mutual publication is encouraged.\nResponsibilities\nConduct experiments, create and validate metrics, and develop candidate algorithms to improve the existing capabilities of current models and agent implementations in any of the above topics.\n\nCollaborate closely with CMD Labs researchers and engineers to leverage existing assets, datasets, and ensure results can contribute to the product.\n\nEmbody our culture and values.\n\nQualifications\nRequired\nCurrently enrolled in a PhD program (or published candidate in MSc program) in Computer Science, Electrical or Computer Engineering, Statistics, or a related field.\n\nPractical experience in training, fine-tuning, and prompt engineering of transformer models or LLMs.\n\nPractical Python coding experience leveraging modern coding agents.\n\nPreferred\nField of research and publications directly related to Audio LLMs or collaborative models and agents.\n\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft 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. 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