Senior ML/AI Modeler, Risk Automation

This is a fully remote position, open to applicants in United States, +2 more locations.

📋 Description

• Conduct experiments and implement AI copilot and autopilot systems on a large scale to enhance analyst efficiency and/or eliminate manual decision-making processes.

• Manage the comprehensive system, which includes API interactions with various data sources, advanced prompt tuning, orchestration, performance metrics and evaluation, production deployment, and ongoing monitoring.

• Utilize payment transactions, connected user data, asset graphs, unstructured text data, and user profile information to develop transformer-based machine learning models for downstream detection tasks.

• Collaborate cross-functionally with product, platform, engineering, and operational teams to deploy production-grade systems while monitoring and optimizing ongoing performance.

• Apply Python machine learning stack, large language models, PyTorch, Airflow-based tools, data platforms, and cloud services such as GCP and AWS.

• Employ agentic tools like Claude Code, Codex, and Openclaw for research, development, DevOps, and documentation purposes.

• Lead and drive strategic roadmaps and priorities to successful completion in a senior individual contributor capacity.

⛳️ Requirements

• Over 8 years of experience in machine learning modeling.

• A Master's degree or higher in computer science, data science, operations research, applied mathematics, statistics, physics, or a related technical discipline.

• More than 3 years of experience in AI engineering and working with large language models.

• A solid background in traditional NLP techniques is highly advantageous.

• Comprehensive experience in building and deploying ML/AI systems to production, both in batch and real-time environments, that are performant at scale.

• Proven ability to independently manage, influence, and drive initiatives involving multiple cross-functional stakeholders with significant business impact.

• A curious and growth-oriented mindset, along with the ability to think in first principles.

• Capacity to work from any location within the United States and Canada.

🏝️ Benefits

• Remote work opportunities.

• Comprehensive medical insurance.

• Flexible time-off policies.

• Retirement savings plans.

• Support for modern family planning.

• Reasonable accommodations provided throughout the recruitment process.