Applied Scientist

Company: DocuSign, Inc.
Location: San Francisco
Posted on: November 11, 2024

Job Description:

Company OverviewDocusign 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. 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 doDocusign is looking for a passionate, hard-working, and inventive Applied Scientist to help build industry-leading, innovative AI/ML solutions. You will be able to get your hands on all aspects of the AI/ML feature life cycle by tapping into 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.Responsibilities:

• Work 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 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, and summarization.
• 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, and 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.Job DesignationHybrid: 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).What you bringBasic:
  • 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 in work experience.
  • Experience in designing, developing, 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.
    • 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 technologies with a commitment to continuous learning.
    • Extensive experience in data collecting, cleaning, sampling, and processing large, diverse structured or unstructured datasets.Wage TransparencyPay 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: $151,800.00 - $245,150.00 base salary.Washington and New York (including NYC metro area): $145,800.00 - $214,350.00 base salary.This role is also eligible for bonus, equity and .Life at DocusignWorking here:Docusign 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.Accommodation:Docusign 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 .States Not Eligible for EmploymentThis position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.Equal Opportunity EmployerIt'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.
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Keywords: DocuSign, Inc., Tracy , Applied Scientist, Other , San Francisco, California