Software Engineer ll, Account Threats Detection, Google 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.
• 1 year of experience with data structures and algorithms.
• 1 year experience with large-scale distributed systems, with a focus on 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.
• Experience in software engineering fundamentals using languages like Python, C++, Java, or Kotlin with the familiarity in 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, accelerating the time-to-production for new threat detections.
• Implement model metrics and benchmarks aiding in explainability of model behavior and Analyze models drift and identify opportunities for refinement, ensuring sustained models’ accuracy and effectiveness.
• Collaborate closely with our partners, including Trust and Safety, to ensure a seamless adoption of UMAMI in our daily threats fighting operations.

Perks and Benefits:

• Google's innovative work environment.
• Opportunities to switch teams and projects as you and the business grow and evolve.
• Mentorship and career development opportunities.
• Competitive salary and benefits package.