Senior ML/AI Modeler, Risk Automation Machine Learning

📋 Description

• Develop and deploy AI copilot/autopilot systems at scale to improve analyst productivity and reduce
• Own end-to-end system components: API calls, data sources, prompts, orchestration, metrics
• Use transformer-based ML with diverse datasets (transactions, users, asset graphs, unstructured
• Collaborate with product, platform, engineering, and operations to deploy production-grade systems
• Leverage Python ML stack, LLMs, PyTorch, Snowflake, Airflow, and cloud services (GCP & AWS).
• Utilize agentic tools (Claude Code, Codex, Openclaw) to accelerate research, development, and

🎯 Requirements

• 8+ years of ML modeling experience; full-stack ML preferred.
• Master's or advanced degree in CS, data science, OR, math, stats, physics, or related field.
• 3+ years with AI engineering, LLMs, and NLP; strong plus.
• End-to-end experience deploying ML/AI to production (batch and real-time) at scale.
• Proven ability to own and drive programs with cross-functional impact.
• Growth mindset and ability to think in first principles to create value.

🎁 Benefits

• Remote work options; flexible time off and medical benefits.
• Competitive pay and global benefits; inclusion and equal opportunity.
• Supportive inclusion practices and accommodations for applicants.