Machine Learning Engineering Manager
3 weeks ago
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 Machine Learning Engineer 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 computer vision, NLP, and document understanding.
You will be building production-level machine learning models that deliver more personalised and automated customer experiences throughout the DocuSign Agreement Platform.
You will work within Docusign AI teams to perform model development, deployment, testing, and evaluation of existing and emerging deep learning methods and technologies that can be effectively applied to the contract domain.
This position is an individual contributor role reporting to the Director of Docusign.
Responsibility
Be 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, summarization
Apply computer vision for document understanding tasks such as layout and object detection, image classification and tagging
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, 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 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
Basic
12+ years of related experience with a Bachelor's degree; or 8 years related experience with a Master's degree; or a PhD with 5 years experience; or equivalent experience
Experience in the research, development, fine-tuning, and deployment of large language models (e.g., GPT, Llama, etc.) in production environments
Understanding of LLM architectures, tokenization, attention mechanisms, prompt engineering, and
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