Docusign

Lead Machine Learning Engineer

Docusign

Dublin, County Dublin, Ireland (Hybrid) · Full Time

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Experience
5+ yrs
Salary
—
Openings
1
Posted
2 days ago
Work mode
Hybrid
Education
Bachelor’s degree
Resume
Required to apply

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Job description

About Docusign

Docusign revolutionizes agreement workflows, serving over 1.5 million clients and impacting more than a billion users across 180 countries. Their Intelligent Agreement Management platform unlocks critical business data trapped in documents, integrating seamlessly with business systems to save time and resources. The platform excels in e-signature and contract lifecycle management, enabling organizations to create, execute, and manage agreements efficiently.

Role Overview

We are seeking a passionate and skilled Machine Learning Engineer to join our team and develop cutting-edge AI/ML solutions, focusing extensively on computer vision, natural language processing (NLP), and document comprehension. This individual contributor role reports directly to the Director and involves end-to-end machine learning model lifecycle activities, enhancing the Docusign Agreement Platform with personalized, automated experiences.

Key Responsibilities

  • Collaborate with team members on developing, researching, testing, and evaluating advanced deep learning models and approaches, specifically tailored for contract-related challenges.
  • Employ state-of-the-art architectures and technologies to enhance Docusign’s intellectual property, addressing complex NLP tasks including representation learning, text comprehension, semantic retrieval, contextual extraction, and summarization.
  • Leverage computer vision techniques for document-related tasks such as layout analysis, object detection, image classification, and tagging.
  • Gain a strong grasp of the technological frameworks, methodologies, and architectures embedded within Docusign’s product development.
  • Support and refine existing systems for model training, evaluation, and real-time inferencing, define online performance metrics, and design mechanisms to incorporate user feedback for AI/ML features.
  • Coordinate closely with engineering teams to deploy models into production environments, ensuring scalability, monitoring, and performance improvements.
  • Partner with Product Management to translate customer requirements into robust, scalable machine learning designs applicable across diverse user scenarios.

Work Arrangement

This is a hybrid position requiring employees to split their time between office and remote work, with a minimum onsite presence of two days per week. Office access is mandatory, and the schedule may vary depending on team needs.

Qualifications

Minimum Requirements:

  • A Bachelor’s degree with over 12 years of relevant experience, or a Master’s degree with more than 8 years experience, or a PhD coupled with at least 5 years of practical exposure, or an equivalent background.
  • Proven experience in the design, development, deployment, and monitoring of machine learning and deep learning models.
  • Proficiency in advanced deep learning frameworks such as PyTorch or TensorFlow.
  • Strong programming skills in Python.
  • Educational background in computer science, physics, statistics, econometrics, operations research, applied mathematics, or a related computational discipline.

Preferred Expertise:

  • Demonstrated hands-on experience deploying large-scale document understanding models into production.
  • Skill in building multi-modal AI solutions integrating computer vision and NLP approaches.
  • Familiarity with latest NLP techniques including large language models (LLMs) and contextual language representations.
  • Expertise in text extraction using OCR and direct parsing from document formats like DOCX, images, and PDFs.
  • A strong commitment to continuous learning and staying current with emerging industry trends and technologies.
  • Extensive experience handling large, diverse datasets including collection, cleaning, sampling, and processing structured and unstructured data.

Working at Docusign

We are dedicated to fostering a trustworthy, inclusive, and equitable environment for our employees, customers, and communities. Our culture emphasizes openness, fairness, and the pursuit of impactful work that enriches the world. At Docusign, every team member has an equal chance to excel, share ideas, and build meaningful connections.

Accommodations and Support

Docusign actively provides reasonable accommodations for qualified individuals with disabilities and for religious needs throughout the application process. Candidates requiring assistance or experiencing difficulties may contact relevant support channels to obtain necessary help.

Level

Lead

Minimum education

Bachelor's Degree

Tools & software

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