Company Overview
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What you'll do
Docusign is looking for a passionate, talented, and inventive Senior Machine Learning Engineer to help build industry- leading innovative solutions. The Senior MLE will demonstrate mining, deep learning, content understanding, document processing and more. You will prototype machine learning models that deliver more personalized and automated customer experiences. This position is an Individual Contributor role reporting to the Director of Engineering ResponsibilityWork 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 and/or legalBe knowledgeable in and capable of applying NLP techniques in order to maintain and extend the current rule-based, supervised and unsupervised methodsMaintain knowledge of and ability to apply ML and DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc. Develop a comprehension of the technologies, methods and the architecture within Docusign product developmentMaintain 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 processWork within the Machine Learning team to deploy models to production, using current and emerging machine learning methods and technologies Collaborate closely with Product Management to translate product requirements into robust, customer-agnostic machine learning success metrics
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
Basic8+ years of experience in designing, developing, deploying and monitoring machine learning and deep learning solutionsExperience programming in Python, PyTorch, TensorFlow, spaCy, scikit-learn, or equivalent machine learning frameworkProgramming skills 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 fieldPreferred Demonstrated experience developing and deploying sequence-based Deep Learning modelsExperience in the latest NLP big model technologies like GPT2, BERT, XLNetExperience in Computer VisionStrong desire to stay ahead of industry trends and technologies with a dedication to continuous learningExperience with Machine Learning Concepts; Training, Validation, Testing, Precision/Recall, Bias/Variance etcExperience in extracting, cleansing, and manipulating large, diverse structured and unstructured setsAssist with the development of language agnostic contract clause recognition, including Cyrillic (Russian) and double byte languages such as Japanese, Korean and Chinese
Wage Transparency
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: California: $X/hour - $X/hour or $X - $X base salary Illinois and Colorado: $X/hour - $X/hour or $X - $X base salary Washington and New York (including NYC metro area): $X/hour - $X/hour or $X - $X base salary Washington DC: $X/hour - $X/hour or $X - $X base salary This role is also eligible for bonus, equity and benefits. This role is also eligible for bonus and benefits. Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on regionPaid Parental Leave: take up to six months off with your child after birth, adoption or foster care placementFull Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employmentRetirement Plans: select retirement and pension programs with potential for employer contributionsLearning and Development: options for coaching, online courses and education reimbursementsCompassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
Life at DocuSign
Working hereDocusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. AccommodationDocusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice
States Not Eligible for Employment
This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
EEO Statement
It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on 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, or any other legally protected category. EEO Know Your Rights poster