Lead Machine Learning Engineer

DocuSign, Inc.; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

DocuSign, Inc. is looking for a passionate Machine Learning engineer to work on state-of-the-art AI/ML solutions. You will help build production-level models enhancing customer experience across the DocuSign Agreement Platform.

The ideal candidate has 12+ years of experience, strong programming skills in PyTorch, TensorFlow, and Python. A master’s or PhD degree in a computational field is preferred. This position allows for a hybrid work model, requiring in-office presence at least two days a week.

Qualifications

• 12+ years of related experience with a Bachelor's degree or equivalent.
• Experience in designing, developing, deploying, and monitoring ML and DL solutions.
• Strong desire to stay updated with industry trends.

Responsibilities

• Develop machine learning models for enhancing customer experiences.
• Collaborate on model development, research, testing, and evaluation.
• Deploy models into production and monitor performance.

Skills

Programming in PyTorch

Programming in TensorFlow

Fluent in Python

Data collection and processing

Education

Bachelor's degree in computer science, physics, statistics, econometrics, operations research, applied mathematics

Job description

What you’ll do

DocuSign is looking for a passionate, talented, and inventive Machine Learning engineer to help build industry-leading state of the art AI/ML solutions. You will be able to get your hands on all aspects of the AI /ML feature life cycle by leveraging your expertise in computer vision, NLP, and document understanding. You will be building production-level machine learning models that deliver more personalized and automated customer experiences throughout the DocuSign Agreement Platform.

This position is an individual contributor role reporting to the Director of DocuSign.

Responsibility

• Work together with your team to perform model development, research, testing, and evaluation of existing and emerging deep learning methods and technologies that can be effectively applied to the contract domain
• Apply the latest architectures and technologies to build DocuSign IP and solve complex NLP challenges including, but not limited to, generating representations, text understanding, semantic retrieval, contextual extractions, summarization
• Apply computer vision for document understanding tasks such as layout and object detection, image classification and tagging
• Develop an understanding of the technologies, methods and the architecture within DocuSign product development
• Understand, assist, and improve the existing model training, evaluation, and online inferencing processes, define online metrics, and design user feedback for our AI / ML features
• Work closely with the engineering partners to deploy models into production, build scalable AI systems, monitor and improve performance metrics
• Work closely with Product Management to translate user scenarios and product requirements into designs and plans for robust, customer-agnostic machine learning solutions

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at DocuSign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within DocuSign. DocuSign reserves the right to change a position’s job designation depending on business needs and as permitted by local law.

What you bring

Basic

• 12+ years of related experience with a Bachelor’s degree, or 8+ years of related experience with a Master’s degree, or a PhD with 5+ years of experience, or equivalent experience
• Experience in designing, developing, deploying and monitoring 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

Preferred

• Demonstrated experience developing and deploying large scale document understanding models in production
• Hands‑on experience building multi‑modal solutions between CV or NLP
• Experience in latest NLP techniques including LLMs and language representations
• Experience in text extraction techniques, especially using OCR and direct extraction from docx, images, and pdfs
• Strong desire to stay ahead of industry trends and technologies with a commitment to continuous learning
• Extensive experience in data collecting, cleaning, sampling, and processing large, diverse structured or unstructured datasets