Job Overview
Docusign is seeking a seasoned Engineering Manager to lead a team of machine learning engineers in building innovative AI/ML solutions. As a key member of the organization, you will guide your team through all aspects of the AI/ML feature life cycle, leveraging expertise in NLP and document understanding.
Responsibilities
* Lead and mentor a team of machine learning 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 robust, customer-agnostic machine learning solutions
* Foster a deep understanding within the team of the technologies, methods, and architecture within 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
Requirements
* Bachelor's degree in computer science, physics, statistics, econometrics, operations research, applied mathematics or an equal computational field
* Minimum of 6-8 years of relevant professional experience with a Bachelor's degree; 5-7 years with a Master's degree; or 5+ years with a PhD, or equivalent combination of education and experience
* Experience in leading and managing machine learning engineering teams
* Experience in the research, development, fine-tuning, and deployment of large language models in production environments
Benefits
* Hybrid: Employee divides their time between in-office and remote work
* Access to an office location is required
* Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job
Life at Docusign
* We strive to create an inclusive environment where every team member has an equal opportunity to succeed, be heard, exchange ideas openly, build lasting relationships, and do the work of their life
* We listen, are honest, and try our best to do what's right every day