Lead Software Engineer AI Platform

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.

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 We’re looking for passionate and talented Software Engineers to build out the machine learning platform and infrastructure that will power Docusign’s IAM.

You will help support all aspects of the machine learning lifecycle, specifically areas like data storage, annotation, training systems, and telemetry infrastructure.

Our team is responsible for building a platform that supports a team of machine learning engineers and data scientists and can serve AI solutions to Docusign at scale.

This role will be a part of the AI platform team at Docusign, which builds analytics products that utilize AI, machine learning, and cutting-edge deep learning based models to provide insights for the Docusign IAM.

Our team is distributed across the San Francisco/Bay Area, Seattle, Ireland and India and you will be working collaboratively across these teams.

This position is an individual contributor role reporting to the Senior Manager, Software Engineering - AI Platform.

Responsibility Drive testing, releases, and monitoring of event-driven, distributed systems supporting workflows for data procurement, annotation, and storage Write high quality, shippable code across the stack that is easy to maintain and test Collaborate with Applied Science and Product teams to ensure successful and timely delivery of new machine learning products and features Design and build data pipelines for production supporting analytics, model development, and data annotation Build vital tools and infrastructure to monitor and understand the performance of complex 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 position's 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 Experience building/consuming RESTful and gRPC based web-services Experience with CI/CD build pipelines, integration tests, and test-driven development Experience with cloud deployment technologies, such as Kubernetes or Docker containers Experience with batch processing and workflow management tools: Azkaban, Luigi, Airflow Experience writing applications primarily in Java and Python Preferred Experience building scalable and reliable software architecture Experience building machine learning related features, data pipelines, and storage systems Ability and desire to move across technology stacks fluently and easily Experience querying both relational and NoSQL databases 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 #LI-Hybrid #LI-VP3Basic 12+ years of related experience with a Bachelor’s degree; or 8 years related experience with a Master’s degree; or equivalent experience Experience building/consuming RESTful and gRPC based web-services Experience with CI/CD build pipelines, integration tests, and test-driven development Experience with cloud deployment technologies, such as Kubernetes or Docker containers Experience with batch processing and workflow management tools: Azkaban, Luigi, Airflow Experience writing applications primarily in Java and Python Preferred Experience building scalable and reliable software architecture Experience building machine learning related features, data pipelines, and storage systems Ability and desire to move across technology stacks fluently and easily Experience querying both relational and NoSQL databasesWe’re looking for passionate and talented Software Engineers to build out the machine learning platform and infrastructure that will power Docusign’s IAM.

You will help support all aspects of the machine learning lifecycle, specifically areas like data storage, annotation, training systems, and telemetry infrastructure.

Our team is responsible for building a platform that supports a team of machine learning engineers and data scientists and can serve AI solutions to Docusign at scale.

This role will be a part of the AI platform team at Docusign, which builds analytics products that utilize AI, machine learning, and cutting-edge deep learning based models to provide insights for the Docusign IAM.

Our team is distributed across the San Francisco/Bay Area, Seattle, Ireland and India and you will be working collaboratively across these teams.

This position is an individual contributor role reporting to the Senior Manager, Software Engineering - AI Platform.

Responsibility Drive testing, releases, and monitoring of event-driven, distributed systems supporting workflows for data procurement, annotation, and storage Write high quality, shippable code across the stack that is easy to maintain and test Collaborate with Applied Science and Product teams to ensure successful and timely delivery of new machine learning products and features Design and build data pipelines for production supporting analytics, model development, and data annotation Build vital tools and infrastructure to monitor and understand the performance of complex systems

Required Skill Profession

Computer Occupations