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Block, Inc.

Senior ML/AI Modeler, Risk Automation Machine Learning

RemoteUnited States, Canada only
Published
Role
AI / ML
Experience
Senior
Company size
Enterprise
$228.7k–$343.1k/yr
Check eligibility

Open to US, CA only. Set where you work from to check your eligibility.

No BS summary

Senior ML/AI modeler for Risk Automation with 8+ years of ML modeling experience. Must have end-to-end production ML/AI deployment experience and own systems that use transformer-based models, prompt tuning and orchestration. Role is remote within the United States and Canada (must be located in US or Canada).

Core skills

Transformer-based modelsML productionization

Optional skills

AI engineeringLarge language modelstraditional NLP techniquesClaude CodeOpenAI CodexOpenclawFull-stack ML experience

What you'll do

  • Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity or eliminate manual decision loops.
  • Own the end-to-end system including API calls to disparate data sources, advanced prompt tuning, orchestration, metrics and evaluation, productionization and monitoring.
  • Leverage diverse data sets (payment transactions, connected users and asset graphs, unstructured text, user profile data) to build transformer-based ML models to improve downstream detection tasks.
  • Work cross-functionally with product, platform, engineering and operations to deploy production-grade systems and monitor/tune ongoing performance.
  • Use Python ML stack, LLMs, PyTorch, Snowflake, Airflow-based tools, data platform and cloud services (GCP & AWS).
  • Leverage agentic tools (Claude Code/Codex/Openclaw) to support research, development, devOps and documentation.
  • Own and drive strategic roadmaps and priorities, collaborating with cross-functional stakeholders.

What they require

  • 8+ years of Machine Learning modeling experience.
  • Full stack ML experience is strongly preferred.
  • A Masters or advanced degree in computer science, data science, operations research, applied math, statistics, physics, or a related technical field.
  • 3+ yrs experience with AI engineering, Large language models, and a background in traditional NLP techniques is a strong plus for this role.
  • End-to-end experience building and deploying ML/AI to production systems (batch and real time) that are performant at scale.
  • Experience independently owning, influencing and driving programs with multiple cross-functional stakeholders and significant business impact.
  • Curious, growth-oriented mindset and ability to think in first principles to identify creative solutions.

Benefits

  • Remote work
  • Medical insurance
  • Flexible time off
  • Retirement savings plans
  • Modern family planning
  • Reasonable accommodations during recruitment process
🇺🇸 United StatesTechnologyEnterprise
$228.7k–$343.1k/yr