Applied AI Engineer: Production ML & Automation

Ersilia; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Ersilia seeks an Applied AI Engineer in San Francisco to advance production AI systems, focusing on browser agents, document understanding, and latency optimization. You will turn research into robust, scalable features that improve accuracy and speed, requiring hands-on execution and strong cross-functional collaboration.

The role emphasizes end-to-end system delivery, reliable pipelines, and clear communication of results to stakeholders.

Qualifications

• Proficiency in Python and ML frameworks with emphasis on PyTorch.
• Ability to define and measure production-relevant metrics.
• Experience handling messy, real-world data.
• Track record shipping complete ML systems end-to-end.
• Clear communication of complex work without buzzwords.

Responsibilities

• Build production-grade AI systems including browser agents and document understanding modules.
• Improve reliability and latency across the ML stack through optimization, tuning, and monitoring.
• Collaborate with researchers and engineers to translate research into production features.
• Communicate progress and outcomes with non-technical stakeholders.

Skills

Python

PyTorch

ML frameworks

Metrics mindset

End-to-end shipping

Communication

Job description

Ersilia seeks an Applied AI Engineer in San Francisco to advance production AI systems, focusing on browser agents, document understanding, and latency optimization. You will turn research into robust, scalable features that improve accuracy and speed, requiring hands-on execution and strong cross-functional collaboration.

The role emphasizes end-to-end system delivery, reliable pipelines, and clear communication of results to stakeholders.