Principal Software Engineer (Artificial Intelligence Platform)
- Full-Time
- Bellevue, WA
- Microsoft
- Posted 3 years ago – Accepting applications
Job Description
Do you want to be a part of AI? Are you interested in designing and bringing to market new AI services that augment human potential?
In Microsoft Azure Cognitive Services, we work at the forefront of AI product development, making AI accessible to every developer. In the Decision group, we use cutting edge Reinforcement Learning technologies to infuse AI across every product in Microsoft and democratizing AI for Microsoft’s customers.
We encourage a collaborative environment that celebrates team success, supports continuous personal development, and perfects the craft of engineering. Our team has people from a wide variety of backgrounds, previous work histories, and life experiences, and we are eager to maintain and grow that diversity.ResponsibilitiesAs an engineer in Microsoft Azure Cognitive Services Reinforcement Learning team, you will be responsible for developing and enhancing cloud-based products that solve complex enterprise scenarios by utilizing reinforcement learning. You will be creating end-to-end solutions using the latest in cloud technologies to run machine learning algorithms at scale.
As a team, we are proud of what we build and how we build it. We run lean, obsess about customers, and use an evidence-based approach to decision making. Every single week we talk to customers to make sure what we build is what customers want. You will be in a position that provides opportunities to impact customers’ satisfaction and grow the business exponentially.
This position requires an engineer with demonstrated experience in backend services to help lead the next generation of Azure Cognitive Services. You will be expected to deliver maintainable well tested code, be a technical leader for your product area, work collaboratively with other Azure Cognitive Services teams and leverage user telemetry to measure the impact of your work.
Experience in machine learning and cloud technologies is desirable but not required.
Upon joining the team, you will:
Preferred Qualifications:
#AIPLATFORM# #AIPLATREF#
Cloud Background Screening Requirement:
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.
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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Apply to this Job
In Microsoft Azure Cognitive Services, we work at the forefront of AI product development, making AI accessible to every developer. In the Decision group, we use cutting edge Reinforcement Learning technologies to infuse AI across every product in Microsoft and democratizing AI for Microsoft’s customers.
We encourage a collaborative environment that celebrates team success, supports continuous personal development, and perfects the craft of engineering. Our team has people from a wide variety of backgrounds, previous work histories, and life experiences, and we are eager to maintain and grow that diversity.ResponsibilitiesAs an engineer in Microsoft Azure Cognitive Services Reinforcement Learning team, you will be responsible for developing and enhancing cloud-based products that solve complex enterprise scenarios by utilizing reinforcement learning. You will be creating end-to-end solutions using the latest in cloud technologies to run machine learning algorithms at scale.
As a team, we are proud of what we build and how we build it. We run lean, obsess about customers, and use an evidence-based approach to decision making. Every single week we talk to customers to make sure what we build is what customers want. You will be in a position that provides opportunities to impact customers’ satisfaction and grow the business exponentially.
This position requires an engineer with demonstrated experience in backend services to help lead the next generation of Azure Cognitive Services. You will be expected to deliver maintainable well tested code, be a technical leader for your product area, work collaboratively with other Azure Cognitive Services teams and leverage user telemetry to measure the impact of your work.
Experience in machine learning and cloud technologies is desirable but not required.
Upon joining the team, you will:
- Design and develop machine learning SaaS services.
- Design and develop distributed machine learning pipelines that perform low latency responses in high load production environments.
- Design and develop products against the latest in reinforcement learning algorithms.
- Design cloud service to support live-site operations and best in class cloud service SLAs.
- Enable customers to leverage various machine learning scenarios to drive tangible business impact.
- Provide feedback and help to improve our day-to-day development process and live site maintenance.
- 10+ years of experience as a software engineer.
- 4+ years of experience coding backend services in a modern managed language (Java, C#, and/or C++)
- 2+ years of experience in distributed computing and containerized applications (Kubernetes, Docker, or similiar).
- 5+ years of experience leading software development with modern software engineering practices of unit testing, continuous integration and deployment.
Preferred Qualifications:
- MS or PhD in Computer Science or Engineering.
- Experience building Machine Learning & Artificial Intelligence products, services or features.
- Experience working with cloud platforms (Azure, AWS, Google Cloud).
- Experience working with web service frameworks (ASP.NET Web API, OData, Swagger).
- Experience with distributed and streaming technologies (Flink, Kafka, Spark).
#AIPLATFORM# #AIPLATREF#
Cloud Background Screening Requirement:
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.
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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.