微软Senior Applied Scientist
任职要求
-Minimum: Master; Preferred: advanced degree and/or industry experience -Experiences in applying deep learning techniques and drive E2E AI product development (LLM, Search, NLP, etc). -Excellent coding experience in Python, C++, C#, C or Java -Familiar with common machine learning, deep learning frameworks like Pytorch/Tensorflow -Passionate and self-motivated, Ability to effectively collaborate and ship production features in a multi-project, fast-paced team environment. -(For manager) awesome project / people management experiences -Good communication skills, both verbal and written Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without re…
工作职责
• Develop next-generation AI experiences for Microsoft Edge — leverage machine learning and generative AI to reinvent how users browse, search, and interact with the web. • Advance Edge’s contextual intelligence by building models that synthesize browsing history, page content, and user intent to deliver proactive, personalized, and trustworthy assistance. • Drive innovation in agentic systems, prototyping and productionizing conversational, reasoning, and planning models that transform Edge from a static browser into a true AI companion. • Collaborate cross-functionally with product managers, designers, and engineers to translate AI capabilities into elegant, high-utility user experiences. • Own the full AI feature development lifecycle — from data pipeline and evaluation metric design to model and prompt tuning, quality validation, and continuous improvement.
Partner with business teams to translate strategic questions into analytical frameworks Build and apply models for causal inference, forecasting, and optimization Analyze complex datasets, including geospatial and market data, to identify performance drivers Present clear, actionable insights to stakeholders
• Partner with our Research and PM team to design, develop and ship innovative algorithms and high-quality features to Search Ads system.• Develop a deep understanding of search ads products, apply machine learning, statistic data analysis, computational linguistics, and other technologies to identify areas from web-scale data for major improvements.• Apply SOTA deep learning algorithms and other cutting-edge technologies to build effective and efficient models to improve recall, relevance, and revenue.
• Ship features with PM & Engineering. Co‑own scenario goals; translate product requirements into scientific plans and productionized solutions that meet quality/latency/cost targets. • Model development & optimization. Design, fine‑tune, and evaluate models for LLM‑based authoring, summarization, reasoning, voice/chat, and personalization (e.g., SFT, alignment, prompt/tool use, safety filtering, multilingual & multimodal). • Data & evaluation at scale. Build/extend data pipelines for curation/labeling/feature stores; author offline eval harnesses; run online A/Bs and interleavings; define guardrails and success metrics; author scorecards and decision memos. • Production ML engineering. contribute to service code and configs; add monitoring, tracing, dashboards, and auto‑scaling; participate in on‑call and postmortems to improve live‑site reliability. • Responsible AI. Produce review artifacts, document mitigations for safety/privacy/fairness, support red‑teaming and sensitive‑use checks, and align with Microsoft’s Responsible AI Standard. • Collaboration & mentoring. Partner across PM/ENG/Design/CE/ORA/CELA; share methods and code, review PRs, improve reproducibility and documentation; mentor junior scientists.
Lead the design and development of advanced models and algorithms for web search and browsing, collaborate with cross-functional teams, and drive innovation in AI-powered information retrieval.