Lead ML Engineer: Hybrid Role in Advanced Document AI

Docusign; Dublin; Hybrid; EUR 90,000 - 140,000; Full time

Job summary

Docusign is seeking a passionate Machine Learning Engineer to build industry-leading AI/ML solutions within the Docusign Agreement Platform. You will work on production-grade models for NLP, CV, and document understanding, reporting to the Director of Docusign.

This hybrid role requires the candidate to split time between in-office and remote work, with a weekly in-office expectation and a minimum of two days on-site per week.

Qualifications

• Design, develop, deploy and monitor machine learning and deep learning solutions.
• Experience programming in PyTorch, TensorFlow, or equivalent deep learning framework.
• Fluent in Python.
• Bachelor’s degree in computer science, physics, statistics, econometrics, operations research, applied mathematics or an equal computational field.

Responsibilities

• Work with the team to develop, test, and evaluate deep learning models for contract domain tasks.
• Apply state-of-the-art architectures to build IP and solve NLP challenges including representations, text understanding, semantic retrieval, extraction, summarization.
• Apply computer vision for document understanding tasks such as layout detection, image classification and tagging.
• Understand, assist, and improve model training, evaluation, and online inference processes; define online metrics and user feedback for AI features.
• Collaborate with engineering to deploy models into production and monitor performance metrics.
• Collaborate with Product Management to translate user scenarios into designs for customer-agnostic ML solutions.

Skills

Python

NLP

Computer Vision

PyTorch

TensorFlow

Education

Bachelor’s degree in computer science or related field

Tools

PyTorch

TensorFlow

Job description

Docusign is seeking a passionate Machine Learning Engineer to build industry-leading AI/ML solutions within the Docusign Agreement Platform. You will work on production-grade models for NLP, CV, and document understanding, reporting to the Director of Docusign.

This hybrid role requires the candidate to split time between in-office and remote work, with a weekly in-office expectation and a minimum of two days on-site per week.