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 and experienced Engineering Manager to lead a team of machine learning engineers in building industry‑leading state‑of‑the‑art AI/ML solutions. You will guide your team through all aspects of the AI/ML feature life cycle, leveraging expertise in NLP and document understanding. You will be responsible for overseeing the development and deployment of production‑level machine learning models that deliver more personalized and automated customer experiences throughout the Docusign Agreement Platform. This position is a people manager role reporting to the Director, Machine Learning. Responsibilities Lead and mentor a team of machine learning engineers and software engineers in model development, deployment, testing, and evaluation of existing and emerging deep learning methods and technologies that can be effectively applied to the contract domain Guide the team in applying 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 Foster a deep understanding within the team of the technologies, methods, and architecture within Docusign product development Define, improve, and assist the team with existing model training, evaluation, and online inferencing processes, establish online metrics, and design user feedback mechanisms for our AI/ML features Collaborate closely with 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 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 Bachelor’s degree in computer science, physics, statistics, econometrics, operations research, applied mathematics or an equal computational field 6+ years of relevant professional experience, including 2+ years leading and managing machine learning engineering teams Experience with direct LLM development including large‑scale pre‑training, supervised fine‑tuning (SFT), parameter‑efficient fine‑tuning (e.g., LoRA, QLoRA), and model evaluation, not limited to prompt engineering or inference Experience deploying and maintaining LLMs in production environments, including model evaluation, versioning, and performance monitoring Experience LLM architectures, tokenization, attention mechanisms, prompt engineering, and transfer learning Experience with standard processes for optimizing LLM performance, efficiency, safety, and alignment Preferred Master’s or PhD in a relevant computational field Hands‑on experience across the broader NLP stack, including dense and sparse embeddings, semantic search, named entity recognition, text classification, information extraction, and retrieval‑augmented generation (RAG) 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 Life at Docusign Working 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. 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. 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 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 #J-18808-Ljbffr
A leading e-signature company in Dublin is seeking an experienced Engineering Manager to lead a team of machine learning engineers. You will manage the development and deployment of cutting-edge AI/ML solutions that enhance customer experiences across platforms. The ideal candidate has 6+ years of experience, strong leadership abilities, and expertise in NLP technologies. This hybrid role involves both in-office and remote work options, allowing flexibility in your work environment. #J-18808-Ljbffr
Senior Technical Recruitment Consultant @ DocuSign 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. 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 MLE to help build industry-leading state of the art solutions. You will be leveraging 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, Software Engineering. Responsibilities Work 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 legal contexts Apply NLP techniques in order to maintain and extend the current rule-based, supervised and unsupervised methods Apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction, etc. Develop an understanding of the technologies, methods and the architecture within DocuSign product development; understand the end-to-end software development process, product code, and release management Understand, assist and improve the existing training maintenance and enrichment process Work within the Machine Learning team to deploy models to production using existing and emerging machine learning methods and technologies Work closely with Product Management to translate product requirements into robust, customer-agnostic machine learning success metrics What you bring Basic 8+ years of experience in designing, developing, deploying and monitoring machine learning and deep learning solutions Experience programming in Python, PyTorch, TensorFlow, spaCy, scikit-learn, or equivalent ML frameworks Programming experience in one or more languages: Python, C#, Java, C/C++ Bachelor’s degree in computer science, physics, statistics, econometrics, operations research, applied mathematics or an equivalent computational field Preferred Demonstrated experience developing and deploying sequence-based deep learning models Experience with NLP big-model technologies like GPT-2, BERT, XLNet Experience in computer vision Strong commitment to staying ahead of industry trends with continuous learning Experience with ML concepts - training, validation, testing, precision/recall, bias/variance, etc. Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured data sets Assist with development of language-agnostic contract clause recognition, including Cyrillic (Russian) and double-byte languages such as Japanese, Korean and Chinese Life at DocuSign Working 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. We strive to listen, be honest, and do what’s right every day. At DocuSign, everyone is treated equally. We are committed to ensuring 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 lives. Your contributions help us make the world better, and you’ll be supported and valued by the team. Accommodation DocuSign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need an accommodation, or a religious accommodation, during the application process, please contact accommodations@docusign.com. If you experience issues during the application process, please reach out to our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development #J-18808-Ljbffr
