Social network you want to login/join with:
Senior Machine Learning Engineer, Dublin
Client: DocuSign
Location: Dublin, Ireland
Job Category: Other
EU work permit required: Yes
Job Reference:
f67b17ee44cc
Job Views:
3
Posted:
19.04.2025
Expiry Date:
03.06.2025
Job Description:
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.
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 leverage 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.
Responsibilities:
1. 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/legal.
2. Knowledgeable in and capable of applying NLP techniques in order to maintain and extend the current rule-based, supervised and unsupervised methods.
3. Knowledge of and ability to apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc.
4. Develop a comprehension of the technologies, methods and the architecture within Docusign product development.
5. Understand, assist and improve the existing training maintenance and enrichment process.
6. Work within the Machine Learning team to deploy models to production, using current and emerging machine learning methods and technologies.
7. 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).
What you bring:
1. Basic 8+ years of experience in designing, developing, deploying and monitoring machine learning and deep learning solutions.
2. Experience programming in Python, PyTorch, TensorFlow, spaCy, scikit-learn, or equivalent machine learning framework.
3. Strong programming skills in one or more of the following languages - Python, C#, Java, C/C++.
4. Bachelor’s degree in computer science, Physics, statistics, econometrics, operations research, applied mathematics or an equal computational field.
Preferred:
1. Demonstrated experience developing and deploying sequence-based Deep Learning models.
2. Experience in the latest NLP big model technologies like GPT2, BERT, XLNet.
3. Experience in Computer Vision.
4. Strong desire to stay ahead of industry trends & technologies with a dedication to continuous learning.
5. Experience with Machine Learning Concepts - Training, Validation, Testing, Precision/Recall, Bias/Variance etc.
6. Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured sets.
7. Assist with the development of language agnostic contract clause recognition, including Cyrillic (Russian) and double byte languages such as Japanese, Korean and Chinese.
Life at Docusign:
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.
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 [emailprotected]. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [emailprotected] for assistance.
Applicant and Candidate Privacy Notice #LI-IC-DS
#J-18808-Ljbffr