Jobs
Overview
The CoreAI Speech Group brings together talents in the areas of signal processing, speech modeling, statistical modeling and deep learning to develop and deliver robust, natural and scalable speech technologies, across a rich set of scenarios and languages.
Speech has become more accurate, and its application has become more useful - especially for user experiences in the areas of intelligent meeting transcription, dictation, and task completion. It powers Microsoft Teams, Microsoft Windows, Microsoft M365, Bing, and many Copilot experiences. It is critical feature to power 1st party and 3rd party user experiences.
Do you have a passion for developing highly efficient algorithms that run at scale on Azure Cloud Services?
Do you like to work in an environment where you can implement new ideas as well as transfer technology from research into the product?
If so, then the Speech Recognition Runtime team is the perfect place for you!
As a Senior Software Engineer, you will work closely with experts in speech modeling to develop robust and scalable technologies to a rich set of scenarios and languages. You'll collaborate with service and partner teams to architect highly scalable end-to-end solutions.
Ideal candidates for this position would have proven programming and algorithm design skills, experience in AI/ML, preferably in the speech area, and a demonstrated ability to deliver high quality features in a highly collaborative team environment.
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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact on our culture every day.
Responsibilities-
Collaborate with internal and external stakeholders to define and incorporate customer requirements, including security, privacy, and accessibility needs. Integrate quantitative and qualitative feedback to refine designs and ensure customer value.
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Designing, implementing, and optimizing, high performance components and algorithms that make up the batch and real-time recognition engines.
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Conduct thorough code and test reviews to ensure adherence to team standards, focusing on diagnosability, reliability, testability, and maintainability. Provide constructive feedback to enhance code quality and coach team members, leveraging automated tools and best practices for security and compliance.
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Partner with stakeholders to drive project plans, ensuring secure and efficient deployment using feature flags and experimentation.
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Apply secure coding practices, drive automation for zero-touch deployment, and ensure compliance with security, privacy, and accessibility standards. Stay updated on industry trends and share knowledge to enhance team practices and tools.
Qualifications:
Required Qualifications:
- 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 PythonOR equivalent experience.
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.
Preferred Qualifications:
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Ideal candidates will have speech recognition or ML background.
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Outstanding C/C++ coding skills are a PLUS.
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Results-oriented free thinkers with ability to socialize and drive their ideas into technology are highly desired
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Experience with Azure Service Deployment is a Plus
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Other desired skills include python, NVidia triton, GPU optimization
#coreai
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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About Microsoft
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3.8
5 reviews
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Compensation
4.3
Culture
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Career
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Management
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Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,571 data points
Junior/L3
Mid/L4
Junior/L3 · Advertising Client Success
2 reports
$163,358
total / year
Base
$141,875
Stock
-
Bonus
-
$163,358
$163,358
Interview Experience
7 interviews
Difficulty
3.7
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
6
Final Round
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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