Software Engineer II, Account Threats

Requirements

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 1 year of experience with data structures or algorithms.
• 1 year of experience implementing core ML concepts.

Nice to haves

• Experience with large-scale distributed systems, in the context of machine learning infrastructure or applications.
• Experience developing and deploying machine learning models, especially deep learning or natural language processing techniques.
• Familiarity with TensorFlow or similar frameworks.
• Experience in the adversarial space, fraud detection, or other anti-abuse domains.

What you'll be doing

• Analyze and enhance machine learning models for abuse prevention and detection.
• Identify relevant data sources and design signals to detect threats, contributing to the formulation of enhanced protection strategies.
• Optimize signal generation processes, including identifying and resolving performance bottlenecks to ensure scalability.
• Gain expertise in emerging abuse trends, designing, implementing and testing innovative strategies to combat them.
• Collaborate with Trust and Safety Analysts and other abuse engineering teams to develop new detection methodologies and evaluate the efficacy and impact of existing protection mechanisms.

Perks and Benefits

• Not specified