We are building the Intelligent Conversation and Communications Cloud (IC3). We power Microsoft's first-party real-time conversation products, notably Skype and Teams with many millions of users, by providing reliable and high-quality audio and video calling, meetings, and chat services that work every time, from anywhere, on any device. And we expose our core capabilities to third-party partners, with which they can bring conversations to life in their own products. With IC3, we will enable customers to do more by making conversations on our platform more intelligent, surfacing useful information in real-time and taking actions on the customers' behalf during the conversation. And, we will learn from each conversation. Every call, meeting, or chat will make the next one better.
Building and running services at scale for Microsoft 365 for hundreds of million consumer and enterprise users is very challenging, but it is a lot of fun and rewarding. We are looking for engineers at many levels to help us do just that to power and deliver on IC3 mission. As a Senior Software Engineer, this opportunity will allow you to make a broad positive impact across many critical IC3 domains such as chat, audio/video calling, meetings, service and data engineering, and service management.
We want you because you have passion for technology, your constant intellectual curiosity and willingness to learn, your ability to communicate well in a team environment, your desire to make our team better with your contributions and of course your ability to deliver the right results at the right time.
Responsibilities
As a Senior Software Engineer, you will be responsible for:
Design implementation and evaluation of Audio DSP (Digital Signal Processing) related machine learning algorithms for real-time communications
Design and develop ML pipelines involving data cleaning, feature engineering, model training, and evaluation
Work across the product lifecycle from prototyping to shipping production-grade code optimized for performance and memory and updating the deployed models based on A/B testing
Remain up to date with latest advancements, trends and research and contribute towards our IP portfolio
Collaborate with other engineering and research teams across the company
Qualifications
Required/Minimum Qualifications
Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++ OR equivalent experience
4+ years of industry experience in development/deployment of machine learning algorithm.
Additional or Preferred Qualifications
Experience with code delivered in shipping products.
Experience in building production-grade ML pipelines.
Domain specific experience in Audio Digital Signal Processing.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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
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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) .
