and experiences of our devices and services. We are looking for highly
motivated and passionate Data Scientists to design and apply rigorous
scientific methodology and algorithms to improve Microsoft’s devices,
operating systems, and services. As a Data Scientist, you will provide unique
insight into business and customer scenarios that cut across organizational
boundaries and lead the growth of a data-driven culture within Microsoft.
As an AI expert, you will help push the state-of-the-art in computer vision,
Natural language processing (NLP), speech recognition and speech enhancement,
using Microsoft's extensive domain- specific knowledge, data, and compute
resources.
We are looking for people who wish to work on a meaningful and impactful
project and make a difference while using their creativity to solve scientific
problems. Are you willing to learn from others and open to new ideas? Do you
want to support others to succeed and operate in a highly collaborative and
global environment? Do you like working with real data and solving real world
problems? If this sounds like you, Microsoft would like to invite you to come
join us as you are, where you can find more than just a job.
Responsibilities
* As a Data Scientist or an AI researcher intern, you will help formulate approaches to solve problems using various algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
* You will develop real-world machine learning and deep learning algorithms in the domains of computer vision, natural language processing, recommender systems, and more.
* You will increase productivity of ongoing research projects and help to productize them, publish research papers in top-tier machine learning venues and issue patents.
* You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
* As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.
Qualifications
Due to nature of the Intern Program we are currently prioritizing applications
from students with final graduation date of winter 2023 and beyond
Relevant candidates will have at least 3 of the qualifications listed below:
* * Currently pursuing MSc or PhD in Computer Science, Mathematics, Statistics, Applied Sciences like Physics or other quant-focused fields.
* Proficiency using one or more programming or scripting language to work with data such as: Python, C++, Perl, or C#.
* Relevant publications in machine learning / vision / NLP / speech / data mining conferences (e.g., NeurIPS, ICML, ICAAPS, AAAI, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL RecSys, KDD, WSDM, ICDM)
* Experience and or project course work performing data analysis and applying statistics working with tools such as: R, MATLAB, AMPL, or SAS.
* Experience or course work applying ML to a type of data, including the application of ML algorithms on large scale data sets, and understanding of various ML algorithms and evaluations techniques.
* Hands on experience in development of deep / machine learning algorithms in PyTorch/ TensorFlow for computer vision / speech / natural language processing applications.
* Hands on experience with big data processing.
* Experience in building industrial machine / deep learning systems.
* Passion to learn from your peers, manager, and other stakeholders in the Data Science and AI domain.
* Ability to interact with peers and stakeholders to drive product and business impact.
* Strong interpersonal and communications skills.
Microsoft is an equal opportunity employer. All qualified applicants will
receive consideration for employment without regard to age, ancestry, color,
family or medical care leave, gender identity or expression, genetic
information, marital status, medical condition, national origin, physical or
mental disability, political affiliation, protected veteran status, race,
religion, sex (including pregnancy), sexual orientation, or any other
characteristic protected by applicable laws, regulations and ordinances.
Benefits/perks listed below may vary depending on the nature of your
employment with Microsoft and the country where you work.
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