Senior Ml/ai Modeler, Risk Automation Machine Learning

Block Block · Fintech · CA · Remote · 11003 Risk - Prod Dev - Square

This role focuses on automating Risk and Compliance investigations and decision-making at Block using agentic and generative AI. The Senior ML/AI Modeler will experiment with and deploy AI copilot and autopilot systems, own end-to-end system development including API calls, prompt tuning, orchestration, metrics, evaluation, productionization, and monitoring. They will leverage diverse datasets and transformer-based ML models, work cross-functionally with various teams, and utilize Python ML stack, LLMs, PyTorch, and cloud services. Experience with AI engineering, LLMs, and end-to-end ML/AI deployment to production is required.

What you'd actually do

  1. Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether.
  2. Own the end to end system including API calls to disparate data sources, advanced prompt tuning, orchestration, metrics and evaluation, productionization and monitoring.
  3. Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build transformer based ML models to improve downstream detection tasks.
  4. Work cross functionally with product, platform, engineering and operational stakeholders to deploy production grade systems and monitor and tune ongoing performance.
  5. Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done.

Skills

Required

  • Python ML stack
  • LLMs
  • Pytorch
  • Snowflake
  • Airflow
  • GCP
  • AWS
  • transformer based ML models
  • API calls
  • prompt tuning
  • orchestration
  • metrics and evaluation
  • productionization
  • monitoring
  • diverse data sets

Nice to have

  • AI engineering
  • traditional NLP techniques
  • Claude Code
  • Codex
  • Openclaw

What the JD emphasized

  • End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale.
  • 8+ years of Machine Learning modeling experience.
  • Full stack ML experience is strongly preferred.

Other signals

  • Leveraging agentic and generative AI as an integral part of our toolkit
  • automates Risk and Compliance investigations and decision making
  • Copilots
  • Autopilots