Docusign is looking for a passionate, talented, and inventive MLE to help build industry-leading state of the art solutions. You will be leveraging text mining, deep learning, content understanding, document processing and more. You will prototype machine learning models that deliver more personalized and automated customer experiences throughout the Docusign Agreement Cloud.
This position is an individual contributor role reporting to the Director, Machine Learning.
Responsibility
Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/DL methods and technologies that could be effectively applied to contractual/legal data
Be knowledgeable in and be able to apply NLP techniques in order to maintain and extend the current rule-based, supervised and unsupervised methods
Be knowledgeable in and able to apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc.
Develop an understanding of the technologies, methods and the architecture within Docusign product development. Also an understanding of the entire software development end-to-end process as well as the product code and release management process will be essential
Understand, assist and improve the existing training maintenance and enrichment process
Work within the Machine Learning team to deploy models to production, using existing and emerging machine learning methods and technologies
Work closely with Product Management to translate product requirements into robust, customer-agnostic machine learning success metrics
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
5+ years of experience in designing, developing, deploying and monitoring machine learning and deep learning solutions
Experience programming in Python, PyTorch, TensorFlow, spaCy, scikit-learn, or equivalent machine learning framework
Programming experience in one or more of the following languages - Python, C#, Java, C/C++
Bachelor’s degree in computer science, Physics, statistics, econometrics, operations research, applied mathematics or an equal computational field
Preferred
Demonstrated experience developing and deploying sequence-based Deep Learning models
Experience in latest LLM technologies like GPT, Gemini, LLaMA etc
Experience in Computer Vision
Strong desire to stay ahead of industry trends and technologies with a commitment to continuous learning
Experience with Machine Learning Concepts - Training, Validation, Testing, Precision/Recall, Bias/Variance etc
Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured sets
Assist with the development of language agnostic contract clause recognition
Working here
Accommodation
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