Machine Learning Engineering Intern

🕒 August 27

🇺🇸 United States – Remote

⏱ Part Time

⚪️ Entry-level

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer • Help integrate tools such as 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 • Possess solid programming skills • Basic experience with source control systems such as Git • Work effectively within a geographically distributed team • Demonstrate 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 • Minimal travel • Reliable internet access for any period of time working remotely, not in a Workiva office • Must reside in and be legally authorized to work in the United States for the entire duration of the internship • Remote work from outside the United States is strictly prohibited

🏖️ Benefits

• 401(k) participation and match • Paid sick leave • A unique opportunity to further your learning experience through additional internship seasons • Remote work from any location within the country of employment • Hybrid office capacity available near Workiva office hubs