- Discovering diverse content on the Web quickly and efficiently by understanding the structure and dynamics of the Web and optimizing crawl scheduling
- Building Big Data pipelines, creating ML and AI models for index selection, and determining document quality
- Designing and implementing models and pipelines for near-real time (NRT) indexing and content freshness
- Designing and implementing methods for leveraging AI in platform and backend solutions
This is a great opportunity for someone who loves to tackle deep technical challenges and strives for industry-wide impact. At this role, you will plan, design, develop, and test software systems or applications for software enhancements and new products, which may be used in local, networked, cloud-based, or Internet-related computer programs. You will develop software, tools, and code to be used in support of design, infrastructure, and technology platforms. You will use current programming languages and technologies to write code, perform testing, and debug issues.
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.
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience with cloud-scale services and server/service management features
Preferred Qualifications
- A technical background and solid foundation in software engineering principles and architecture design
- Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)
- Development of core fundamental global scale data pipeline services.
- A proven track record of significant technical leadership in research and development of ML platforms or frameworks technology.
- Experience with Apache Spark or other big data processing platforms.
Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 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
Microsoft will accept applications for the role until November 25, 2024.
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.
#Bing
- Collaborate with appropriate stakeholders to determine user requirements for a scenario.
- Drive identification of dependencies and the development of design documents for a product, application, service, or platform.
- Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
- Leverage subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
- Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
- Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
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