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
Hybrid:
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.
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
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Accommodation
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