Microsoft Audience Network (MSAN) part of the Web Experiences Team (WebXt) is seeking a Senior Applied Scientist to join us in Barcelona, Spain.
As the Senior Applied Scientist, you will specialize in creating and enhancing machine learning technologies in areas such as natural language processing (NLP), computer vision (CV), and large language models (LLM).
You will be a key player within a dynamic team, contributing to and collaborating with other talented colleagues on cutting-edge machine learning challenges from a real ads recommender system.Computational Advertising has emerged as a new interdisciplinary field encompassing information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to address the complex problems inherent in online advertising.
The exponential growth of online advertising offers immense opportunities.
At Microsoft, we are constantly challenging ourselves, infusing curiosity and imagination to reshape the realm of possibilities.
We innovate in machine intelligence, data analytics, big data, and distributed systems, creating the future with a customer-focused mindset.Microsoft's mission is to empower every person and every organization on the planet to achieve more.
As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.ResponsibilitiesYou 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 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.QualificationsRequired Qualifications: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) - ORMaster'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) - ORDoctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research) - OREquivalent experiencePreferred Qualifications:PhD with research experience in data science, machine learning and/or related fieldsHave publications at peer-reviewed Data Science/AI conferences (e.g.
KDD, CIKM, SIGIR, NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) #J-18808-Ljbffr