Job type: Full-time

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Do you have a passion for working with customers on their most forward-looking AI initiatives? We are seeking someone to develop machine learning solutions to solve the business problems our customers face every day.

The Commercial Software Engineering (CSE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest problems and transform their industries using cloud-based solutions. We sit side-by-side with our customers to collaboratively innovate custom solutions tailored to their business needs. In the process, we help shape the future of our own platforms by partnering with our product groups to improve them. We pride ourselves on making contributions to open source and make our platforms easier to adopt. Our work involves the development of high-impact software assets that contribute to the Microsoft platform that are broadly applicable. Our diverse skillsets and collaborative, curious natures help us foster innovation with our customers and with ourselves. Fresh perspective is part of how we create meaningful impact in our work and inclusive day-to-day experiences. We want your help in continuing to reflect the communities we serve and live in.

We are looking for a Senior Data and Applied Scientist with strong analytical and development skills to join our expanding team. The ideal candidate has demonstrated expertise in machine learning and is passionate about creating business value through building robust and performant cloud-based solutions infused with AI. They should be comfortable with the end-to-end ML/AI solutions development process, starting from understanding the customer business problem and ending with production implementation of machine learning pipelines. We work as a team to implement our solutions to nurture our projects into production via a fully reproducible continuous delivery process reinforced by a battery of full lifecycle tests in support of our customer’s objectives. Through this work with our customers, we look to be inspired by what’s possible with applied machine learning and the potential for the future.

Responsibilities
  • Developing and deploying solutions with some of Microsoft’s largest customers for solving business problems using machine (deep) learning and predictive modeling techniques.
  • End-to-end execution of the data science process: from understanding business requirements, data discovery and extraction, model development and evaluation, to production pipeline implementation.
  • Ensure your team adheres to solid engineering and rigorous data science principles, leaving our customers with maintainable code and models and as stronger engineers and scientists when we leave.
  • Providing technical subject matter expertise in OSS and Microsoft AI and Data technologies, ranging from helping our product teams understand our gaps, through to navigating our customers to the right technology choices for their business.
  • We value design research because we know it gives us a holistic view of how business goals, and human experiences are affected by interactions between data, algorithms, context, logic and interfaces. For that reason, you will be working with research, design and experience practitioners to evolve highly considered experiences.
Qualifications

We are open to all backgrounds and are looking for candidates with demonstrated ability to deliver on the responsibilities below.

Required Qualifications
  • 5+ years of experience with end-to-end ML/AI systems in the cloud, including data processing, feature engineering and tuning of ML models in training and production (MLOps) - with both structured and unstructured data.
Preferred Qualifications
  • Experience managing both technical and non-technical stakeholders and able to resolve complex business and technical issues.
  • We look for people who have broad Machine Learning experience across a variety of applications both traditional and Deep Learning, but a deeper expertise in either Computer Vision, NLP, Forecasting or Recommenders.
  • Python skills, including the scientific Python stack, Machine Learning frameworks, and at least one major programming language such as C#.
  • MS/PhD in Computer Science, EE, Machine Learning, Data Science, Computational Linguistics, or equivalent technical fields.
  • Enjoy travel and are comfortable with regional travel up to 25% as needed with projects (subject to worldwide and organizational safety guidance).
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within CSE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It’s an informal, flexible work environment where you’ll be welcome to work from home, our offices, customer sites- wherever is best for you to get your job done. We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#CSEng
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Deadline: 04-05-2024

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