微软Senior Researcher SDE / Applied Scientist
任职要求
Required/Minimum Qualifications (RQs/MQs) • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) • OR equivalent experience. • Strong coding skills in both high-level and systems languages (e.g., Python for ML, C++/C#/Java for performance-critical components). • Solid grasp of ML techniques in CV/NLP, with experience applying deep learning models (Transformers, CNNs) using frameworks like PyTorch or TensorFlow. • Proven track record of deploying ML models to production, with expertise in scalable services, software best practices, and optimizing inference for speed and efficiency. Additional or Preferred Qualifications (PQs) • Master's Degree in Statistics, Econometrics, Computer Science, Electrical • OR Computer Engineering, • OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical • OR Computer Engineering, • OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) • OR equivalent experience. • Domain expertise in OCR, document layout analysis, or multimodal AI. • Experience with large-scale cloud services (Azure, or similar) for ML pipelines, containerization, and MLOps (CI/CD for model deployment). • Experience in research collaboration & innovation • Experience conducting research as part of a research program (in academic or industry settings). • OR experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). • OR experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
工作职责
• You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. • You will review business requirements and incorporate research to meet business goals. You’ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. • You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. • You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.
• Advise product teams by generating strategic frameworks and insights that guide the development of in-game and around game features for Wild Rift • Design and execute on surveys and player labs in Wild Rift’s prioritized markets that support decision making by authentically representing player needs • Conduct global qualitative research and provide actionable guidance for the games team in terms of trends, emerging risks, and opportunities • Provide strategic insights to test design assumptions and inform products in development • Leverage storytelling skills to expertly share your results with other Rioters, League of Legends leaders, and partner studios • Collaborate with analysts and data scientists to construct holistic, multi-modal analyses
• As an accomplished expert in a broad research area (e.g., large language model, deep learning systems, multimodal foundation models, embodied AI, and related fields) has a comprehensive understanding of the relevant literature, research methods, and business and academic context. • Leads a joint research effort (possibly involving multiple teams/universities inside and outside of Microsoft) to pursue a long-term research agenda which is in line with MSRA strategy. • Fosters cooperative relationships with academic communities, industry partners, and business groups within Microsoft to establish MSRA presence locally and support future growth. • Creates synergy among MSRA research groups in multiple locations to enable collaboration and creativity
• Translate complex business challenges into research plans and roadmaps. Define, design, execute, and lead research projects and the research roadmap to support decision-making in Supercell games, utilizing the methodologies you consider best suited to the task to uncover insights and empower product iteration and strategic discussion Translate complex business challenges into research plans and roadmaps. • Identify opportunities for product improvement and innovation. Make recommendations for product iteration and development based on consolidation and synthesized insights from various sources—qualitative and quantitative research, market and competitor data, social listening, and more—about our games, players, competitors, and the broader gaming market. Identify opportunities for product improvement and innovation. • Collaborate closely with leadership and diverse crafts within game teams. Partner closely with teams across leadership, game design, art and UI/UX, live-ops and monetization, marketing, analytics, and other disciplines to hypothesize, iterate, and socialize research findings effectively Collaborate closely with leadership and diverse crafts within game teams. • Drive research learnings into impact by socialising insights throughout the development cycle, both in everyday over-the-desk conversations and in key strategic discussions and planning Drive research learnings into impact by socialising insights
Join a dynamic team of designers, content strategists, and user researchers working on Alibaba’s global B2B e-commerce platform, Alibaba.com. We collaborate closely with product and business teams to create a top-tier online marketplace for businesses in regions like North America, Europe, and Southeast Asia. Alibaba.com is the original business of Alibaba Group, launched in 1999, and we’re focused on continuously improving it to better serve our global customers. As a Senior UX Researcher, you will be responsible for creating, driving, and implementing research plans to discover actionable insights for creating the user experience for web-based applications and mobile devices. You will deliver the right user insights at the right time, helping project team to create digital products that are good for users and good for business. You will use your deep understanding of the methods and best practices of user research to experiment with mixed methods research to generate unique user insights and drive product innovation. You will mentor junior team mates to deliver high-quality outputs while working effectively on managing stakeholders, overlapping projects, and competing priorities. Responsibilities: • Drive ideas to improve products and services through research-driven insights and recommendations. • Independently design and execute research studies with effective research methods (e.g., desk research, interviews, focus groups, usability testing, surveys, competitive analysis, etc.), representative participant profiles, and efficient recruiting strategies. • Proactively review and perform data analysis to extract insights and actionable recommendations from qualitative or quantitative data, and collaborate with teams to translate insights into product and business impact. • Present your work at research critique sessions to collect constructive feedback from the team and leadership. • Collaborate with designers, engineers, and product managers throughout the research, design, and product development processes. • Organize post-mortem reviews of your projects with collaborating teams, reflect on outcomes, and proactively suggest improvements. • Through knowledge sharing, leading by example, and constant learning, contribute to the team’s professional growth and development. • Constantly learn and implement AI in the workflow to enhance research efficiency, and proactively identify and suggest new tools for the team. • Effectively identify and implement new ways to conduct research, grow the team’s influence, and create impact.