Machine Learning Engineer Intern

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $40 / hour

⏱ Part Time

⚪️ Entry-level

🤖 Machine Learning Engineer

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This company has sponsored H1B visas in the past.

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Workiva

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.

📋 Description

• Participate in discovery, requirements gathering, and prototyping of new tools and libraries • Implement tooling and features supporting machine learning model development and deployment under the direction of a full-time Machine Learning Engineer • Help integrate LlamaIndex and LlamaParse into existing workflows • Assist in building and deploying AI Agents to automate data processing and analysis tasks • Participate in code reviews • Implement and update unit and integration tests • Track tasks and complete status updates using internal tools • Work in an Agile development methodology alongside teammates

🎯 Requirements

• Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study • Solid programming skills • Basic experience with source control systems such as Git • Reliable internet access for periods working remotely outside a Workiva office • 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 • Ability to work effectively within a geographically distributed team • Strong communication and organizational skills

🏖️ Benefits

• 401(k) participation and match • Paid sick leave • Opportunity to further learning experience through additional internship seasons • Remote work from any location within country of employment • Hybrid office access for those located near office hubs