Machine Learning Engineer - ML/Data Pipelines (Multilingual)
Company: DocuSign Inc.
Location: San Francisco
Posted on: May 17, 2022
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Job Description:
Machine Learning Engineer - ML/Data Pipelines (Multilingual)
Engineering & Tech Operations - San Francisco, CA or Seattle, WA
This position is not eligible for employment in the following
states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South
Dakota, Vermont, West Virginia and Wyoming. Our agreement with
employees 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. The
team Our Engineering & Tech Operations team builds and operates
complex solutions for global business challenges that cross
cultures, legal jurisdictions, and impacts millions of people and
businesses every day. We hire people with a broad set of skills and
people who want to work on creating never-been-done-before
solutions at scale while ensuring world-class reliability and
security. Our Agreement Cloud is a revolutionary solution that
changes the way people live, work, and come to agreement. This
position The Agreement Intelligence Platform team builds Machine
Learning solutions that power insights and automation for the
entire DocuSign Agreement Cloud. We have built industry-leading
Document AI products and features, all leveraging an enormous
wealth of text and image data and deep computer vision and natural
language models. Our group is pioneering the Smart Agreement Cloud
of the future and we're looking for experienced, driven, and
diverse industry experts who want to be part of building that
future together. No matter who our customer is, where they do
business, or what they're agreeing on, our team would like to
simplify and optimize their business processes around contract
negotiation, execution, and post-signature analysis. Our ultimate
goal is to make the world more agreeable by empowering all of our
customers with automated expertise. We're looking for passionate,
talented, and inventive engineers to build out the machine learning
platform and infrastructure that will power DocuSign's Agreement
Cloud. You will help support all aspects of the machine learning
lifecycle, including the research platform, training and deployment
systems, and scalable serving infrastructure. Our team is
responsible for building a platform that supports an international
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 Foundations Machine Learning team at DocuSign, which builds
analytics products that utilize AI, machine learning, and
cutting-edge CV/NLP deep learning based models to provide insights
for the DocuSign Agreement Cloud. Our team is distributed across
the Bay Area, Seattle, Europe, and Egypt and you will be working
collaboratively across these teams. This position is an individual
contributor role reporting to the Lead Engineer and is designated
Flex. Responsibilities Think about how to solve and automate
problems at scale, and build fault tolerant systems with
enterprise-grade security and reliability Drive testing, releases,
and monitoring of machine learning based products Write high
quality, shippable code across the stack that is easy to maintain
and test Collaborate with Machine Learning and Product teams to
ensure successful and timely delivery of new products and features
Work collaboratively across different time zones and geographies
Develop highly scalable and reliable machine learning
infrastructure that can perform model training and evaluation.
Build vital tools and infrastructure to monitor and understand the
performance of complex systems. Support the team to deploy models
in a mission critical environment. Help our applied scientists
build production ML and DL models at scale. Basic qualifications
B.S., M.S in Computer Science or equivalent experience 5+ years
experience with Python, C#, or any object oriented programming
language Experience building/consuming RESTful web-services
Experience with CI/CD build pipelines, integrated tests, and
test-driven development Experience with designing and scaling
fullstack or distributed backend systems Experience with building
carrier grade availability services Preferred qualifications Ideal
candidates have past experience in building applications such as
data pipelines, data caching/storage systems, and/or RPC services
Previous experience with developing machine learning infrastructure
or experience in using GPUs is a plus. Experience with deployment
and monitoring of machine learning models Familiarity with cloud
deployment technologies, such as Kubernetes or Docker containers
Experience in agile and test-driven development methodologies
Ability and desire to move across technology stacks fluently and
easily Vaccination requirement DocuSign may require all employees
to be fully vaccinated against COVID-19 and provide proof of
vaccination to visit a DocuSign office, to meet with potential or
actual customers or business partners, or for other
business-related purposes, in accordance with local law. Please
note that DocuSign has contracts with different governments
globally which may require compliance with local and federal laws.
About us DocuSign helps organizations connect and automate how they
prepare, sign, act on, and manage agreements. As part of the
DocuSign Agreement Cloud, DocuSign offers eSignature: the world's
#1 way to sign electronically on practically any device, from
almost anywhere, at any time. Today, over a million customers and
hundreds of millions of users in over 180 countries use DocuSign to
accelerate the process of doing business and simplify people's
lives. And we help save the world's forests and embrace
environmental sustainability. It's important to us that we build a
talented team that is as diverse as our customers and where all
employees feel a deep sense of belonging and thrive. We encourage
great talent who bring a range of perspectives to apply for our
open positions. DocuSign is an Equal Opportunity Employer and makes
hiring decisions based on experience, skill, aptitude and a can-do
approach. We will not discriminate based on race, et hnicity,
color, age, sex, religion, national origin, ancestry, pregnancy,
sexual orientation, gender identity, gender expression, genetic
information, physical or mental disability, registered domestic
partner status, caregiver status, marital status, veteran or
military status, or any other legally protected category.
Accommodations DocuSign provides reasonable accommodations for
qualified individuals with disabilities in job application
procedures, including if you have any difficulty using our online
system. If you need such an accommodation, you may contact us at
accommodations@docusign.com . #LI-Hybrid
Keywords: DocuSign Inc., San Francisco , Machine Learning Engineer - ML/Data Pipelines (Multilingual), Engineering , San Francisco, California
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