Applied AI Engineer - Production ML for Finance Ops

David Joseph & Company; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

David Joseph & Company in San Francisco, CA is seeking an experienced ML engineer to drive applied AI automation for enterprise finance operations. You will own the intelligence powering the client’s automation and translate research into production for browser-agent reliability, document understanding, and inference optimization.

The role requires strong Python and ML engineering experience with PyTorch, a production-focused mindset, and the ability to ship end-to-end systems on-site in San

Qualifications

• Strong Python and ML engineering experience with PyTorch as core framework.
• Applied ML/AI engineering experience at a strong organization.
• Eval-and-metric mindset focusing on production metrics, not just benchmarks.
• Comfort working with messy data and turning it into usable inputs.
• Demonstrated ability to ship end-to-end systems, not only research.
• Crisp communication about your work without buzzwords.

Responsibilities

• Own the intelligence powering the client’s automation.
• Translate research into production for browser-agent reliability, document understanding, and inference optimization.
• Continuously improve system accuracy and speed on a weekly cadence.

Skills

Python

ML engineering

PyTorch

Eval-and-metric mindset

Messy data handling

Ship end-to-end systems

Crisp communication

Tools

PyTorch

LLMs

Job description

David Joseph & Company in San Francisco, CA is seeking an experienced ML engineer to drive applied AI automation for enterprise finance operations. You will own the intelligence powering the client’s automation and translate research into production for browser-agent reliability, document understanding, and inference optimization.

The role requires strong Python and ML engineering experience with PyTorch, a production-focused mindset, and the ability to ship end-to-end systems on-site in San