Company Overview DocuSign helps organizations connect and automate how they agree. Our flagship product, eSignature, is the world's #1 way to sign electronically on practically any device, from virtually anywhere, at any time.

Today, more than a million customers and a billion users in over 180 countries use DocuSign to accelerate the process of doing business and simplify people's lives. What you'll do DocuSign is looking for a passionate, talented, and inventive Applied Scientist 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 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, Machine Learning.ResponsibilityWork together with your Applied Science 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 domainBe knowledgeable in and able to 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, summarizationDevelop an understanding of the technologies, methods and the architecture within DocuSign product developmentUnderstand, assist, and improve the existing model training, evaluation, and online inferencing processes, define online metrics, and design user feedback for our AI/ML featuresWork closely with the engineering partners to deploy models into production, build scalable AI systems, monitor and improve performance metricsWork 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 BasicMinimum of 5 years of related experience with a Bachelor's degree; or 3 years related experience with a Master's degree; or a PhD without experience; or equivalent experienceExperience in designing, developing, and monitoring machine learning and deep learning solutionsExperience programming in PyTorch, TensorFlow, or equivalent deep learning frameworkFluent in PythonBachelor's degree in computer science, physics, statistics, econometrics, operations research, applied mathematics or an equal computational fieldPreferredDemonstrated experience developing and deploying large scale document understanding models in productionHands-on experience building multi-modal solutions between CV and NLPExperience in latest NLP techniques including LLMs and language representationsExperience in text extraction techniques, especially using OCR and direct extraction from docx, images, and pdfsStrong desire to stay ahead of industry trends & technologies with a commitment to continuous learningExtensive experience in data collecting, cleaning, sampling, and processing large, diverse structured or unstructured datasets Wage Transparency Based on applicable legislation, the below details pay ranges in the following locations:California: $146,800.00 - $235,025.00 base salaryWashington: $139,800.00 - $207,325.

00 base salaryThis role is also eligible for bonus, equity and benefits. 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 provides reasonable accommodations for qualified individuals with disabilities in job application procedures. If you need such an accommodation, including if you need accommodation to properly utilize our online system, you may contact us at accommodations@docusign.com.

If you experience any technical difficulties or issues during the application process, or with our interview tools, please reach out to us 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 posterJob SummaryLocation: US-CA-San Francisco | US-WA-SeattleCategory: EngineeringPosition Type: Regular.