Staff Engineer, Core ML & Document Intelligence

W3Global; Austin (TX); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Employer-paid benefits

Flexible PTO

Access to AI tools

Job summary

W3Global is seeking a seasoned ML engineer to ship production-ready models and build robust document-understanding systems for complex technical content including PDFs/CAD. You will advance agent reliability, apply new research to production, and mentor teammates while shaping end-to-end ML pipelines and evaluation strategies.

The role emphasizes hands-on development, data curation, and strong engineering discipline to ensure deterministic, trustworthy AI systems used across diverse document

Qualifications

• Hands-on AI/ML engineering experience with a proven track record of shipping models into production.

Responsibilities

• Develop algorithms that extract meaning from complex technical documents containing text, vector geometry, CAD, and raster content, spanning vision models, geometric algorithms, and language understanding.
• Build document-understanding capabilities into the tools that power long-running agentic systems.
• Improve the reliability, determinism, and effectiveness of agentic systems, including agent planning, tool usage, and failure recovery.
• Build and extend training and evaluation pipelines for core models and agents, ensuring every change is measured against real customer data before deployment.
• Analyze algorithm performance in production, identify failure patterns, and develop targeted improvements.
• Identify gaps and bias in datasets and address them through data curation, labeling, or synthetic data generation.
• Monitor emerging research and techniques and adapt promising approaches for production use.
• Mentor and provide technical guidance to other engineers on the team.

Skills

ML engineering

Production ML

Python

PyTorch

AI Observability

Go

Data engineering

Langfuse

Tools

Langfuse

Opik

vLLM

PyTorch

Job description

W3Global is seeking a seasoned ML engineer to ship production-ready models and build robust document-understanding systems for complex technical content including PDFs/CAD. You will advance agent reliability, apply new research to production, and mentor teammates while shaping end-to-end ML pipelines and evaluation strategies.

The role emphasizes hands-on development, data curation, and strong engineering discipline to ensure deterministic, trustworthy AI systems used across diverse document