Senior Staff Machine Learning Engineer (Fully Remote)

Undisclosed; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote-friendly culture

Flexible time off

Comprehensive benefits

Technical leadership opportunities

Job summary

Undisclosed is seeking a Senior Staff ML Engineer to build agentic AI systems for global trade data, lead architecture and production deployment of LLM-powered workflows, and mentor engineers from a partner company of Jobgether. The role emphasizes cross-functional influence and technical leadership across risk management and compliance applications.

Responsibilities include designing scalable data pipelines for ingestion and inference, developing evaluation and monitoring frameworks, and

Qualifications

• 10+ years in production ML with deep PyTorch and Python expertise.
• Experience with RAG, agentic workflows, and LLM post-training (SFT/DPO).
• Strong leadership and communication skills for cross-functional influence.

Responsibilities

• Design scalable pipelines for ingestion, document understanding, and inference.
• Develop evaluation frameworks and monitoring for production AI systems.
• Collaborate with product, data science, and customer teams to deliver impact.

Job description

• Senior Staff ML Engineer to build agentic AI systems for global trade data.
• Lead architecture and production deployment of LLM-powered workflows.
• Mentor engineers and shape technical strategy.

Key Responsibilities:

• Design scalable pipelines for ingestion, document understanding, and inference.
• Develop evaluation frameworks and monitoring for production AI systems.
• Collaborate with product, data science, and customer teams to deliver impact.

Requirements:

• 10+ years in production ML with deep PyTorch and Python expertise.
• Experience with RAG, agentic workflows, and LLM post-training (SFT/DPO).
• Strong leadership and communication skills for cross-functional influence.

This role is with a partner company of Jobgether building AI systems that transform global trade data into actionable intelligence for risk management and compliance. They offer a remote-friendly culture with flexible time off, comprehensive benefits, and opportunities for technical leadership.