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Machine Learning Engineer
Machine Learning EngineerDocusign • Seattle, Oregon, USA
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Machine Learning Engineer

Machine Learning Engineer

Docusign • Seattle, Oregon, USA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.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 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).

What youll do

Docusign is looking for a passionate talented and collaborative Machine Learning Engineer to join our AI Infrastructure team. Our team is responsible for building Docusigns centralized platform to create manage and deploy advanced AI / ML solutions to make customer journeys throughout the Docusign Agreement Cloud more efficient. As a Machine Learning engineer you will help support all aspects of the machine learning lifecycle including the research platform training and deployment pipelines labeling and serving infrastructure. You will partner with a team of expert applied researchers who specialize in various domains including document understanding natural language processing (NLP) computer vision and more to prototype and productionize solutions for real business use-cases at scale.

This position is an individual contributor role reporting to the Sr. Director Machine Learning.

Responsibility

  • Collaborate with Applied Science Product and other engineers across multiple offices and time zones to create and deliver new machine learning products and features on time
  • Contribute to the development of AI infrastructure by building highly scalable gRPC-based services to enable offline and online machine learning pipelines ensuring enterprise-grade security and reliability
  • Develop systems to optimize and create AI-assisted data labeling processes while maintaining appropriate and thorough data governance and security standards
  • Contribute to the development of scalable model training infrastructure to minimize the time it takes to deploy the candidate models to production
  • Optimize model performance (including open source and licensed LLMs) in production leveraging best practices for CPU / GPU inference on NVIDIA Triton with TensorRT / ONNX
  • Improve platform observability by implementing tools and required infrastructure to monitor and analyze the performance of deployed AI services

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

BS degree in computer science or related fields

Experience building / consuming RESTful and gRPC based web-services

Experience with CI / CD build pipelines integrated tests and test-driven development

Experience with cloud deployment technologies such as Kubernetes or Docker containers

Experience with designing and scaling fullstack or distributed backend systems

Experience with Java Python or similar programming languages

Preferred

Experience building machine learning products data pipelines or machine learning training and deployment systems

Experience with deployment and monitoring of machine learning models

Ability and desire to move across technology stacks fluently and easily

Experience with LLMs

Familiarity with NLP Computer Vision domains

Familiarity with Open AI APIs and libraries

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge skills and experience.

Based on applicable legislation the below details pay ranges in the following locations :

Washington Maryland New Jersey and New York (including NYC metro area) : $94600.00 - $137875.00 base salary

This role is also eligible for the following :

  • Bonus : Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan which is calculated as a percentage of eligible wages and dependent on company performance.
  • Stock : This role is eligible to receive Restricted Stock Units (RSUs).
  • Global benefits provide options for the following :

  • Paid Time Off : earned time off as well as paid company holidays based on region
  • Paid Parental Leave : take up to six months off with your child after birth adoption or foster care placement
  • Full Health Benefits Plans : options for 100% employer paid and minimum employee contribution health plans from day one of employment
  • Retirement Plans : select retirement and pension programs with potential for employer contributions
  • Learning and Development : options for coaching online courses and education reimbursements
  • Compassionate Care Leave : paid time off following the loss of a loved one and other life-changing events
  • 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 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

    States Not Eligible for Employment

    This position is not eligible for employment in the following states : Alaska Hawaii Maine Mississippi North Dakota South Dakota Vermont West Virginia and Wyoming.

    EEO Statement

    Its 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 ethnicity 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.

    EEO Know Your Rights poster

    Key Skills

    Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

    Employment Type : Full-Time

    Department / Functional Area : Engineering

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 94600 - 137875

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