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Machine Learning Engineer Intern
2 months ago
We are seeking a highly motivated and talented Machine Learning Engineer Intern to join our Data Management and Analytics organization. As a key member of our team, you will play a critical role in supporting the development, deployment, and monitoring of machine learning models developed by our data scientists.
Key Responsibilities- Participate in discovery, requirements gathering, and prototyping of new tools and libraries
- Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
- Participate in code reviews
- Implement and update tests (unit, integration)
- Track tasks and complete status updates using internal tools
- Work in an Agile development methodology alongside your teammates
- Currently pursuing a bachelor's degree or higher in statistics, math, computer science, physics, electrical engineering, or equivalent certifications
- Solid programming skills
- Ability to work within a geographically distributed team
- Basic experience with source control systems such as Git
- Strong communication and organizational skills
- Familiarity with the data science lifecycle and basic machine learning concepts
- Experience with containerization tools such as Docker and Kubernetes
- Knowledge of cloud platforms such as AWS
- Proficiency with Python and/or Go
- Familiarity with REST APIs
- Salary range in the US: $40.00
- 401(k) participation and match
- Paid sick leave
- A unique opportunity to further your learning experience through additional internship seasons
Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic.