Join Our Financial Integrity Risk Team as a Machine Learning Engineer at Meta

At Meta, we are dedicated to building a trustworthy financial ecosystem across our products. Our Risk team within the Financial Integrity sector focuses on preventing fraudulent activity to ensure the security and integrity of transactions for all users and businesses. This crucial effort supports Meta’s mission to expand financial activities and enhance user trust, driving the overall growth of our comprehensive product portfolio.

Role Overview: Machine Learning Engineer – Financial Integrity, Risk

We are seeking a Machine Learning Engineer to play a pivotal role in developing cutting-edge solutions to combat fraud. As a key member of our dynamic team, you will set the direction and craft the goals for our ML initiatives. This includes designing and implementing state-of-the-art machine learning models and integrating these innovations across our platforms.

Key Responsibilities:

• Lead the ML strategy, focusing on impactful projects and excellence in system design.
• Develop and execute a long-term vision for top-tier fraud enforcement solutions.
• Manage the full development cycle from concept to deployment, ensuring seamless integration into various applications.
• Work collaboratively with software engineers and data scientists, leveraging advanced algorithms and machine learning techniques.

Minimum Qualifications:

• Master’s degree or higher in Mathematics, Statistics, or a related technical field.
• Proven experience in developing scalable machine learning models from inception to significant business impact.
• Expertise in machine learning, data mining, artificial intelligence, or related fields.
• Strong interpersonal and teamwork skills.

Preferred Qualifications:

• Experience coding and debugging in PHP/Python.
• Familiarity with large-scale A/B testing environments, particularly within financial or cybersecurity sectors.

About Meta:

Since launching in 2004, Meta has revolutionized how people connect. Today, we are shifting from traditional digital interactions to immersive experiences involving augmented and virtual reality. Join us in shaping a future that transcends the limitations of physical and digital barriers. At Meta, we equip our team with the necessary accommodations to support diverse needs in the pursuit of advancing human potential and connectivity.

If you require specific accommodations due to disabilities, long-term conditions, or other needs, please contact .

Ready to innovate in the FinTech industry? Apply now to become a Machine Learning Engineer in Financial Integrity and Risk at Meta!