Software Engineer ll, Account Threats Detection, Core

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 implementing core machine learning concepts.

Nice to haves:

• Master's degree in computer science, machine learning, or a related field, or equivalent experience demonstrating strong software engineering fundamentals.
• 1 year of experience with data structures and algorithms.
• 1 year experience with large-scale distributed systems, ideally in the context of machine learning infrastructure or applications.
• 1 year of experience developing and deploying machine learning models, especially deep learning or natural language processing techniques.
• Experience in the adversarial space, fraud detection, or other anti-abuse domains.
• Familiarity with TensorFlow or similar frameworks.

What you'll be doing:

• Build, optimize, and operate the ML ecosystem that powers UMAMI's transformer-based account activity models.
• Implement robust ML pipelines and agentic setup for seamless experimentation, feature engineering, training, validation, and deployment.
• Implement model metrics and benchmarks aiding in explainability of model behavior and analyze models drift.
• Collaborate closely with partners, incl. Trust and Safety, to ensure seamless adoption of UMAMI in daily threats fighting operations.

Perks and benefits:

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