Job Information
Microsoft Corporation Research Software Developer II in Redmond, Washington
The Microsoft Translation team is on a mission to enable communication without language barriers. We offer state-of-the-art machine translation for more than 130 languages. Recently the team has introduced new features such as Document Translation, online and offline containers, as well as custom neural dictionaries.
Training world class models requires world-class data. Even the best model architectures are useless if you don’t have the data to train them with.
As we work to expand our language coverage and quality, our needs for data quantity and quality are expanding. We are looking for a talented Research Software Developer II to join our small data team and help us to identify and collect high-quality data at large scale. The ideal candidate will have a passion for analyzing and experimenting with large-scale data, writing quality code, and a knack for developing systems that are testable, redundant and scalable. You will be working in the fields of data science, data mining, machine learning, deep neural networks and natural language processing. You will directly collaborate with experienced Machine Learning, NLP and Machine Translation scientists. This position will require work in both research and engineering domains.
The ideal candidate must be comfortable both with exploring new ideas and algorithms and implementing them in a robust and scalable manner. This is a fantastic opportunity to make a real difference in the quality of our system. If you are excited about making a real difference in the quality of our system, we would love to hear from you.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
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
Discover new data sources and evaluate their quality to enrich our data coverage
Work with researchers to create and evaluate prototypes for new algorithms
Explore and evaluate new data processing tools and algorithms (for example text extraction, sentence extraction, parallel data alignment, normalization, duplicate identification) to improve the existing data processing pipelines.
Productize research prototypes into end-to-end pipelines
Maintain the existing pipelines for:
Automated discovery and identification of language data from multiple domains at web scale
Text data processing (text extraction, sentence extraction, parallel data alignment, normalization, duplicate identification)
Large scale text data storage infrastructure (import, export, query)
Data cleaning and filtering
Embody our culture (https://careers.microsoft.com/v2/global/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values)
Qualifications
Required/Minimum Qualifications
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C# or Python.
OR equivalent experience.
At least one of the following:
Experience with web-scale data mining / data science (Hadoop MapReduce, Scope, Spark, R, etc.)
OR
- Experience doing AI, Machine Learning, NLP, Machine Translation, preferably in a production environment
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Additional or Preferred Qualification:
Bachelor's Degree in Computer Science
OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,
OR Python
OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Experience programming in cloud ecosystems (Azure Storage, ADLS, Cosmos or their AWS equivalents)
Linguistics and/or NLP coursework or experience
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until January 16, 2025.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
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