AI Platform Engineer Intern
- Location
- San Francisco, CA
- Employment
- Internship
- Work model
- Hybrid
- Level
- Intern
- Salary
- $39/hr
- H-1B history
- 71 approvals (FY2023)
- Posted
Skills
About this role
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
Our Cloud Platform and Services "CP&S" team - is in the business of trust and reliability. We create, maintain and operate scalable technology and data solutions that deliver an exceptional experience for our internal and external customers. We embrace Agile principles and values, favor DevOps practices, and view infrastructure as code, all while we create an infrastructure that scales and supports our growth and ambitious vision. This requires a smart, highly collaborative team who can identify, investigate, and implement new technologies to continue securely scaling our global business. This intern role will assist in unlocking AI capabilities within foundational platforms and contribute to projects aimed at developing AI solutions that enhance the employee and developer experience. This includes researching and implementing AI-driven search functionalities, optimizing data retrieval processes, and collaborating with teams to identify innovative ways to leverage AI for improving employee engagement and productivity. This is an internship role for 9.5 months of duration. This position is an individual contributor role reporting to the Director, DevOps Engineering.
Responsibility
Engage in training opportunities to learn about employee experience/AI technologies and tools Attend team meetings and contribute ideas and insights related to AI and employee experience Stay updated on the latest AI/ML technologies and trends enables organizations to research innovative tools that enhance employee experience and align with the voice of the customer 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 Pursuing a degree in Computer Science, Information Technology, Engineering, or a related field Graduating in December 2027 and May/June 2028 Experience with large language models (LLMs), artificial intelligence and machine learning concepts Experience with programming languages such as Python This role is not eligible for CPT, OPT or sponsorship now or in the future Preferred Develop AI capabilities that enhance the employee experience by streamlining processes, personalizing interactions, and providing data-driven insights to support decision-making Demonstrating product mindset with a focus on understanding user needs and iterating on solutions to enhance the employee experience Strong analytical and troubleshooting skills to identify and resolve technical issues effectively 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: $39/hour - $51/hour Global benefits provide options for the following: Paid Time Off: