Microsoft Corporation Senior Data & Applied Scientist in Redmond, Washington
Are you excited about applying machine learning to real-world problems? Our team is transforming Office by building intelligent features that leverage machine learning for the most fundamental tasks in the product. These include designing and laying out slides in PowerPoint, visualizing data in Excel, designing Word documents, and simply finding the right command in any Office application.
We are looking for an experienced applied researcher or engineer with ML experience who wants to build models that will go into production. Our current partners include teams within Word, PowerPoint Excel and the Office Canvas. Our projects range from those that regularly ship models to millions of users to ones that are still in the incubation phase – it’s an exciting time to be doing machine learning on the OXO Machine Learning team.
Who are we? The OXO Machine Learning team leverages machine learning and the vast quantities of data from Office users to build amazing features in Office. We are a growing team with a goal-oriented, startup-like atmosphere. We highly value varied skills. Our focus is on customer impact and execution speed. We are looking for someone with experience in applied machine learning and a desire to ship machine learning solutions to customers. Our team works closely with partner teams to understand places where machine learning can be leveraged for customers, then partners to ship those features.
On our team, understanding the customer is just the beginning. We analyze customer data, work to understand customer problems, build models to assess these problems, and then work with partner teams to build and ship machine learning models as customer-facing features. A flexible problem-solving attitude with the ability to work independently is vital. You will work cross-team to produce models that will be learned at scale and deployed at scale to Office customers. You will be responsible for working responsibly within Microsoft’s industry-leading commitments to user privacy. You will also be responsible for ensuring that your models and features adhere to Microsoft’s Responsible AI policies to ensure fair and unbiased models for all.
An ideal candidate would have a growth mindset and be experienced in a wide array of ML techniques, with a focus on problem solving rather than a particular method or tool kit. You will have helped build and ship machine learning models to customers. You will be a technical leader, working closely with product teams and mentoring and guiding more junior team members.
3+ years’ experience in machine learning, including building practical machine learning models with applications to real-world problems.
Experience with ML tools to build models and analyze data. (e.g.PyTorch, TensorFlow, scikit-learn).
Knowledge of distributed/cloud computing systems (e.g. Spark, Hadoop, Azure, AWS, Cosmos).
Demonstrated software engineeringskills.
Deep Learning experience is a plus.
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .
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