What youll do

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 Docusign s IAM. In 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

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 positions 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 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Lead Machine Learning Engineer

Job Description

No Referrers Available