Senior ML/AI Modeler, Risk Automation Machine Learning
Leads the design, deployment, and optimization of agentic and generative AI systems that automate risk and compliance investigations at scale. Requires 8+ years of machine learning modeling experience, production ML expertise, and advanced technical education.
About the job
Responsibilities
- Experiment with and deploy AI copilot and autopilot systems at scale to improve analyst productivity and eliminate manual decision loops.
- Own end-to-end systems, including API integrations with disparate data sources, prompt tuning, orchestration, metrics, evaluation, productionization, and monitoring.
- Use payment transactions, connected-user and asset graphs, unstructured text, and user profiles to build transformer-based ML models for downstream detection tasks.
- Collaborate with product, platform, engineering, and operations stakeholders to deploy production-grade systems and tune ongoing performance.
- Apply Python ML tools, LLMs, PyTorch, Snowflake, Airflow-based tools, data platforms, and GCP and AWS cloud services.
- Use agentic tools such as Claude Code, Codex, and OpenClaw for research, development, DevOps, and documentation.
- Own and drive strategic roadmaps and priorities across cross-functional stakeholders.
Requirements
- 8+ years of machine learning modeling experience.
- Full-stack machine learning experience preferred.
- Master's or advanced degree in computer science, data science, operations research, applied mathematics, statistics, physics, or a related technical field.
- 3+ years of AI engineering and large language model experience preferred.
- Background in traditional natural language processing techniques preferred.
- End-to-end experience building and deploying performant ML/AI systems in batch and real-time production environments.
- Experience independently owning and driving high-impact programs with multiple cross-functional stakeholders.
- Curious, growth-oriented mindset and ability to apply first-principles thinking.
Compensation and Benefits
- ATS salary range: $194,500–$343,100 USD.
- Pay varies by location, skills, experience, qualifications, and market conditions; U.S. locations are categorized into compensation zones.
- Benefits include remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning.
Skills
Machine Learning, Artificial Intelligence, LLMs, Natural Language Processing, Python, PyTorch, Snowflake, Apache Airflow, GCP, AWS, Transformer Models, Prompt Engineering, MLOps, Claude Code, Codex
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