To be successful in this role, you will need 5+ years of experience in ML infrastructure, including model training and model deployments, hands-on experience with ML optimization, deep experience with cloud-based technologies, and proficiency with common programming languages and frameworks of ML. You should also have strong organizational and communication skills, experience working with graph databases and graph neural networks, and a deep understanding of the machine learning development lifecycle.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

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Microsoft are looking for a talented Principal Applied Scientist at their Bengaluru office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the advertising ecosystem. You'll work directly with leadership to shape the company's direction in the threat modelling and adversarial defence space.

About the Role

As a Principal Applied Scientist, you will be responsible for developing and maintaining comprehensive adversarial frameworks to map the lifecycle of emerging threats, from account compromise (ATO) to malicious payload delivery. You will also advance the continuous, signal-based security protocol and research and implement behavioral biometrics and Proof of Liveness models to detect synthetic identities and coordinated fraud rings.

Accountabilities

• Develop and maintain comprehensive adversarial frameworks to map the lifecycle of emerging threats, from account compromise (ATO) to malicious payload delivery.
• Advance the continuous, signal-based security protocol.
• Research and implement behavioral biometrics and Proof of Liveness models to detect synthetic identities and coordinated fraud rings.

The Candidate we're looking for

Experience:

• Bachelor's, Master's, or PhD degree in Computer Science, Cybersecurity, Mathematics, or a related field, with 10+ years of related experience.

Technical skills:

• Deep technical expertise in Cybersecurity, Anti-Abuse, or Adversarial Machine Learning.
• Strong programming skills in C++ or Python (at least one is required), with experience in building production-quality security or ML systems.

Personal attributes:

• Strong communication and collaboration skills, with experience articulating complex security risks to business and product leadership.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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