Block
Senior ML/AI Modeler, Risk Automation Machine Learning
$194K–$343K
Bay Area, CA, United States of America +1 · Remote · Senior · Full-time · Posted Aug 19, 2026
- Location
- Bay Area, CA, United States of America
US - CA - Bay Area - Remote - Experience
- 8+ years of machine learning modeling experience; 3+ years of AI engineering and large language model experience is a strong plus.
- Education
- Master’s or advanced degree in computer science, data science, operations research, applied math, statistics, physics, or a related technical field.
About the job
Build and deploy agentic and generative AI systems and ML models that automate Risk and Compliance investigations, improve analyst decisions, and detect suspicious activity.
What you'll do
- Experiment with and deploy AI copilots and autopilots at scale, owning the systems from data-source integration and prompt tuning through evaluation, productionization, and monitoring.
- Build transformer-based ML models using payment, user, asset-graph, text, and profile data to improve detection tasks.
- Drive strategic roadmaps and collaborate with product, engineering, platform, and operations teams to deploy and tune production systems.
What they ask for
- 8+ years of machine learning modeling experience.
- Master’s or advanced degree in computer science, data science, operations research, applied math, statistics, physics, or a related technical field.
- Experience building and deploying performant ML/AI production systems at scale, in batch and real time.
- Experience independently owning and driving programs with cross-functional stakeholders and significant business impact.
Nice to have
- Full-stack ML experience.
- 3+ years of AI engineering and large language model experience, plus a background in traditional NLP techniques.
Pay
$228,700 — $343,100 USD (base salary); $217,300 — $325,900 USD (base salary); $205,900 — $308,900 USD (base salary); $194,500 — $291,700 USD (base salary)
Tools
Python, LLMs, Pytorch, Snowflake, Airflow, GCP, AWS, Claude Code/Codex/Openclaw
AI focus
Apply agentic and generative AI to accelerate analyst workflows with copilots and automate investigations end to end with autopilots; develop transformer-based models for risk detection.
Model-written summary · the original posting is authoritative