Senior Software Engineer-Machine Learning

Overview

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all.

Our team protects both enterprise, consumer and agent identities against sophisticated attacks. We are using machine learning and generative AI to evaluate billions of transactions and petabytes of telemetry online. Security, availability, efficiency and scale are essential for us. We keep exploring new AI techniques to detect new security threats. We are looking for an experienced Software Engineer who is passionate about machine learning and security. You will have the opportunity to learn and apply the most advanced genAI technique to build threat detections and protect billions of users. This team has both machine learning experts and engineering guru. You can learn and grow expertise in both fields. The projects in this team are highly visible at CVP level. If you are result driven and seek fast career growth. This is the team for you.

Our culture promotes diversity, multiculturalism, and inclusion and is clearly reflected in all the things we do. Diversity is more than a commitment for us - it is the foundation of what we do. Our team has a strong sense of accountability and provides its members with many opportunities for learning and career growth. 

We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more! 

#IdentityJobs

Responsibilities

• Work with data science team to train machine learning models for threat detection.
• Build AI agent to automatically detect system vulnerability and simulate real attacks.
• Build data platform and signal ingestion pipeline.
• Design and integrate machine learning models in production systems to achieve real-time identity protection.
• Focus on customer/partner needs through a data driven approach.
• Improve test coverage for services, organize and implement integration tests, and resolve problem areas.
• Troubleshoot and optimize automation, reliability and monitoring for LiveSite.
• Debug issues in production and respond to them quickly to mitigate customer impact.

Qualifications

Required Qualifications: 

• Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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

• Master's Degree in Computer Science or related technical field.
• Experience in machine learning, deep learning and genAI.
• Experience building large-scale, distributed platforms.
• Experience in security (optional).

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 $160,200 - $261,000 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.