Engineering & Tech Operations | Walnut Creek, CA
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The Analyze and Manage team builds and operates industry-leading analytics products that utilize AI, machine learning and cutting-edge NLP to provide deep insights from procurement, derivative and other contracts to financial institutions, manufacturers and others. We are the worldwide leader in AI-driven contract analytics. The Machine Learning (ML) team's primary goal is to maintain and enhance the core analysis engine. In order to keep up with the rapidly evolving field of Natural Language Processing (NLP) and ML, certain time is allotted for research. This allows us to lead the trend of automating the contract analysis processes by testing and evaluating the latest ML technology and methods in an inhouse designed lab. As such, we hire people who are excited about working on a groundbreaking and technically challenging AI vision that will be one of DocuSign's key investments over the next 5 years.
DocuSign is looking for a passionate, talented, and inventive machine learning engineer to help build industry-leading state of the art machine learning solutions. You will be leveraging data mining, deep learning, content understanding, image processing and more. You will integrate and deploy machine learning models that deliver more personalized and automated customer experiences.
This position is an Individual Contributor role and reports to an Engineering Lead.
Feature extraction and data preparation
Algorithm development and evaluation of existing and emerging NLP/ML methods and technologies that could be effectively applied to contractual/legal data
Apply NLP techniques to maintain and extend the current rule-based, supervised and unsupervised models
Apply ML algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, etc.
Understanding of the entire software development end-to-end process as well as the product code and release management process
Understand, assist and improved the existing training data maintenance and enrichment process
Is "hands-on" and takes the initiative
6+ years of experience in designing, developing, deploying and monitoring models, specifically in the context of text processing/NLP
Experience with Python programming, especially in the context of established deep learning frameworks.
Bachelor's degree in computer science, data science, applied mathematics, or an equally computational field
Experience with containerization and orchestration of machine learning models in production.
Masters or PhD in computer science, data science, machine learning, applied mathematics, or an equally computational field.
Demonstrated experience with text-based deep learning (NLP, NLU).
Demonstrated experience in extracting, cleansing, and manipulating large, diverse unstructured datasets.
Strong desire to stay ahead of industry trends & technologies with a commitment to continuous research and learning.
DocuSign® helps organizations connect and automate how they prepare, sign, act on, and manage agreements. As part of the DocuSign Agreement Cloud, DocuSign offers eSignature: the world's #1 way to sign electronically on practically any device, from almost anywhere, at any time. Today, hundreds of thousands of customers and hundreds of millions of users in over 180 countries use DocuSign to accelerate the process of doing business and simplify people's lives. Plus, we save more trees together! And that's a good thing.
DocuSign is an Equal Opportunity Employer. DocuSign is committed to building a diverse team of talented individuals who bring different perspectives to the discussion and who feel a sense of inclusion and belonging when they join our team. Individuals seeking employment at DocuSign are considered without regards to race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status, or any other legally protected category.