Director of ML & Document AI — Remote

Hidden Jobs; United States; Remote; USD 200,000 - 245,000; Full time

Benefits offered by this job

Annual salary range $200k–$245k

100% remote within the United States

Job summary

Hidden Jobs in the United States seeks a senior ML leadership role to build and run an ML organization for an immigration case management platform. The focus is on document understanding, extraction, and agentic automation across petitions, supporting evidence, and case correspondence.

The role blends hands-on technical depth with recognized field contributions and accountability for cost, quality, and throughput of every model in production. 100% remote within the United States.

Qualifications

• 8+ years in applied ML/AI with leadership of ML engineering teams.
• Recognized depth in the field via patents, publications, talks, or equivalent.
• Track record shipping production LLM/NLP/document-extraction systems at scale with ownership of cost & quality.
• Hands-on depth in LLMs, agentic systems, NER and document extraction, and traditional ML (search/ranking/classification).
• Experience making/build-vs-buy decisions for ML capabilities and partnering with platform architects.
• Executive communication translating technical trade-offs into business terms.
• MS or PhD in CS/ML or related field preferred.

Responsibilities

• Build and scale the ML engineering organization by hiring, structuring pods, and establishing a tech-lead layer for day-to-day decision making.
• Set technical strategy for document AI, extraction, and agentic systems for immigration documents and workflows.
• Lead structured build-vs-buy evaluations for ML capabilities and vendor tools, weighing cost, accuracy, latency, and compliance.
• Design retrieval and context-optimization strategies (RAG, page/section narrowing, agentic cross-validation) that control LLM inference cost without sacrificing accuracy.
• Own the ML systems architecture in partnership with platform and product architects, including model serving, evaluation pipelines, and feature/data infrastructure.
• Establish LLM evaluation frameworks and quality bars before production release, and drive continuous model and pipeline cost optimization.

Skills

ML leadership

Executive communication

LLM & agentic systems

Document understanding & extraction

Build-vs-buy decisions

Cost & quality ownership

Patents/publications/talks

Education

MS or PhD in Computer Science/ML or related

Job description

Hidden Jobs in the United States seeks a senior ML leadership role to build and run an ML organization for an immigration case management platform. The focus is on document understanding, extraction, and agentic automation across petitions, supporting evidence, and case correspondence.

The role blends hands-on technical depth with recognized field contributions and accountability for cost, quality, and throughput of every model in production. 100% remote within the United States.