Machine Learning Engineer

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 are seeking an experienced Machine Learning Engineer to join our team and drive the design, development, and optimization of large-scale data processing systems. This role requires deep expertise in distributed computing, data pipeline architecture, modern big data technologies, and applied Large Language Model (LLM) integration.

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

Responsibility

• Architect and maintain high-performance, fault-tolerant distributed systems to ensure scalability and availability

• Design, build, and optimize scalable data pipelines and ETL processes using Python, Spark, and Ray to process complex, unstructured datasets

• Develop batch data processing workflows to support analytics and machine learning initiatives

• Integrate and operationalize Large Language Models (LLMs) such as OpenAl, Azure OpenAl, or similar platforms into production applications, including PII detection and redaction workflows

• Design and maintain prompt engineering strategies, fine-tuning pipelines, and evaluation frameworks for LLM-based solutions

• Optimize data processing jobs and system performance for cost-efficiency and reliability

• Collaborate with applied scientists, SMEs, and engineering teams to understand data requirements and deliver robust solutions

• Implement data quality frameworks and monitoring systems to ensure data integrity

• Troubleshoot and resolve complex data processing issues in production environments

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

• 5+ years of experience in data engineering or related roles

• Experience with Python for data engineering and automation

• Experience with distributed computing frameworks like Apache Spark or Ray

• Experience integrating LLMs (e.g., OpenAl, Azure OpenAl, Anthropic, or similar) into applications via APIs, including prompt design, response parsing, and error handling

• Experience with distributed systems concepts including data partitioning and sharding strategies, fault tolerance and replication, consistency models and distributed consensus, load balancing and resource management

• Experience with distributed file systems (Azure Data Lake, S3, HDFS)

• Experience implementing REST APIs using Python frameworks such as FastAPI, Flask, or similar

• Experience with containerization and orchestration (Docker, Kubernetes)

• Experience with SQL and database optimization techniques

• Experience with data structures, algorithms, and software design patterns

• Experience with version control systems (Git) and CI/CD pipelines

• Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience

Preferred

• Experience working with unstructured data (text, images, video, audio) and associated processing techniques

• Experience with multiple cloud platforms (e.g., AWS, Azure, GCP)

• Knowledge of data governance and security best practices

• Experience with machine learning pipelines and MLOps

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex)

• Familiarity with responsible Al practices, including bias mitigation, content filtering, and token cost optimization for LLM-based applications

• Contributions to open-source projects

• Excellent problem-solving skills and ability to work with complex, ambiguous requirements

• Strong communication skills and ability to collaborate across teams

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:

California: $X/hour - $X/hour or $X - $X base salary

Illinois, Colorado, Massachusetts and Minnesota: $X/hour - $X/hour or $X - $X base salary

Washington, Maryland, New Jersey and New York (including NYC metro area): $X/hour - $X/hour or $X - $X base salary

Washington DC: $X/hour - $X/hour or $X - $X base salary

Ohio: $X/hour - $X/hour or $X - $X base salary

Canada: CAD $X/hour - CAD $X/hour or CAD $X - CAD $X 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

Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.

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

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

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, 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