Lead Machine Learning Engineer

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 peoples 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 Docusigns 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).

The Docusign AI team builds Machine Learning solutions that power insights and automation for Docusign Intelligent Agreement Management (IAM). Our ultimate goal is to simplify and optimize business processes around contract negotiation execution and post-signature analysis by empowering customers with automated expertise. We are looking for passionate and talented Machine Learning Engineers to build AI Applications and user experiences that will power Docusigns this role you will help support all aspects of the machine learning lifecycle specifically areas like data annotation training and evaluation systems and distributed scalable systems. This role will be a part of the AI Applications team which builds analytics products using cutting-edge deep learning based models and works collaboratively across our distributed teams.

This position is an individual contributor role reporting to the Senior Engineering Manager.

Responsibility

• Drive the architectural vision and implementation of event-driven distributed systems that support large-scale data procurement annotation and storage for the IAM platform

• Set the standard for high-quality shippable code; perform rigorous code reviews and mentor junior engineers to ensure the teams output is maintainable scalable and tested

• Act as the primary technical point of contact for Applied Science and Product teams translating high-level business requirements into successful timely deliveries of ML products

• Oversee the development of production-grade data pipelines that facilitate analytics evaluation and model development and at scale

• Lead the creation of vital infrastructure and services to optimize the performance of complex multi-layered machine learning systems

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 positions job designation depending on business needs and as permitted by local law.

Basic

• 12 years of related experience with a Bachelors degree; or 8 years related experience with a Masters degree; or equivalent experience

• Proven ability to lead engineering projects from ideation to production with minimal supervision while empowering junior team members

• Proven track record building and consuming production-grade RESTful and gRPC-based web services

• Expertise in CI/CD build pipelines integration testing and test-driven development (TDD) for large-scale deployments

• Expertise in cloud deployment technologies specifically Kubernetes (k8s) and Docker containers to manage distributed AI services

• Professional experience with batch processing and workflow management tools

Preferred

• Demonstrated success in building scalable reliable and high-performance software architectures for AI-driven products

• Advanced experience building specialized ML features including vector storage systems complex data pipelines and intelligent storage solutions

• Ability to move across technology stacks with ease and provide technical guidance on distributed service architectures to junior engineers

• Expert-level proficiency in writing and architecting applications primarily in Java and Python

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 whats 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 youll 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 .

If you experience any issues concerns or technical difficulties during the application process please get in touch with our Talent organization at for assistance.

Applicant and Candidate Privacy Notice