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.  

Responsibilities

To be successful in this position, you will:

• Be a problem solver who focuses on developing optimized ML solutions, independently from the method or the toolkit used.
• Leverage your experience as to analyze and adapt state of the art techniques given the available resources and requirements.
• Collaborate across engineering, product and research teams in order to ship ML based features with the goal of improving our customers productivity and experience.
• Own different ML related tasks: Data analysis, features engineering, model selection, training, deploying and metrics definition.
• Innovate and be scientifically curious in an ever evolving space.

Qualifications

Basic Requirements:

• 3+ years of experience in machine learning (practical ML models with real world application)
• 3+ years of experience with ML tools for modeling and analysis (PyTorch, TensorFlow, scikit-learn)
• 3+ years of software engineering experience in automation and scripting (Python, Java, C++, C#)
• 1+ years of distributed/cloud computing experience (Spark, Hadoop, Azure, AWS, Cosmos)

 Preferred Qualifications:

• Deep Learning and NLP experience is a plus
• 5+ years of machine learning experience in practical real world application.

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. 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.