Member of the Technical Staff - Document Processing & Workflows
Two DotsSan Francisco, CA
As a Member of the Technical Staff, you will be a Software Engineer specializing in PDF processing and document understanding workflows. You will be responsible for building, scaling, and refining Python-based application code, ensuring fast and efficient PDF processing, and managing ML operations and quality.
175k – 250k/yr
On-siteML Engineering
Member of the Technical Staff - Chatbot Engineer
Two DotsSan Francisco, CA
As a Member of the Technical Staff, you will build consumer-facing chat agents that serve as the frontend to complex workflows. This role requires strong Python ability, user empathy, and a metrics-driven approach to understanding and improving chat agent quality.
175k – 275k/yr
On-siteML Engineering
Machine Learning Engineer
Two DotsSan Francisco, CA
Designs, develops, and deploys ML models focused on fine-tuning multimodal LLMs for fraud detection and application automation in financial profiles. Requires 3+ years experience with Python, PyTorch, and expertise in information extraction from financial documents.
150k – 250k/yr
On-site3+ YOEML Engineering
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Member of the Technical Staff - Document Processing & Workflows
Two DotsSan Francisco, CA
As a Member of the Technical Staff, you will be a Software Engineer specializing in PDF processing and document understanding workflows. You will be responsible for building, scaling, and refining Python-based application code, ensuring fast and efficient PDF processing, and managing ML operations and quality.
175k – 250k/yr
On-siteML Engineering
Member of the Technical Staff - Chatbot Engineer
Two DotsSan Francisco, CA
As a Member of the Technical Staff, you will build consumer-facing chat agents that serve as the frontend to complex workflows. This role requires strong Python ability, user empathy, and a metrics-driven approach to understanding and improving chat agent quality.
175k – 275k/yr
On-siteML Engineering
Machine Learning Engineer
Two DotsSan Francisco, CA
Designs, develops, and deploys ML models focused on fine-tuning multimodal LLMs for fraud detection and application automation in financial profiles. Requires 3+ years experience with Python, PyTorch, and expertise in information extraction from financial documents.