Principal Applied Scientist - Barcelona, España - Microsoft

Microsoft
Microsoft
Empresa verificada
Barcelona, España

hace 1 mes

Isabel García

Publicado por:

Isabel García

beBee Recruiter
Descripción

Microsoft Audience Network (
MSAN) part of the
Web E
xperiences
Team (
WebXt) is seeking a
Principal Applied Scientist to join us in
Barcelona, Spain.


As the Principal 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.


Responsibilities:


  • Participate in design, implementation, and execution across a variety of features regarding data science and machine learning

Qualifications:


Required Qualifications:


  • Bachelor'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 Master'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 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

Preferred Qualifications:


  • PhD with research experience in data science, machine learning and/or related fields
  • Have publications at peerreviewed Data Science/AI conferences (e.g. KDD, CIKM, SIGIR, NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
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