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Internship Machine Learning Compiler Engineer Jobs in Kentucky

... in compiler technology and deep-learning systems software. Strong experience in programming ... A background in machine learning and AI accelerators is preferred but not required. * Basic ...

New

$90K - $119K/yr

We are hiring software engineers for the CUDA Tile team ... NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs ...

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

$75K - $99K/yr

## Lead Machine Learning EngineerApplylocations: Plano, TX: McLean, VAtime type: Full timeposted on ... Internship experience does not apply)*** **At least 4 years of experience programming with Python ...

Experience contributing to production-level software development, internships, research, or ... Grounding in machine learning, statistics, and experimental design, with a knack for technical ...

Machine Learning Engineer Accepting candidates LOCAL or wanting to relocate to Beavercreek, OH only About the Company: Etegent Technologies is a defense-focused technology company with offices in ...

$150K - $200K/yr

Machine Learning Engineer Department: DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Description The role: We are seeking a creative, ambitious Machine ...

$150K - $225K/yr

As a Machine Learning Engineer, you will develop scalable infrastructure, intelligent evaluators ... Experience with large language models (LLMs), multimodal AI, or generative AI through internships ...

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department and is responsible for establishing the development practices, standards, and platform foundations ...

$60K - $81K/yr

About The Role We're looking for a Machine Learning Engineer to design, build, and deploy production‑grade ML systems that power the next generation of Plenful's AI platform. You'll own the ...

$184K - $324K/yr

Senior Machine Learning Engineer, Apple Search & Knowledge Platforms Santa Clara, California, United States Machine Learning and AI The AI, Search & Knowledge Platforms team builds amazing products ...

New

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Machine Learning Engineer The Mission: You are the engineer who ships the model, not just the one who trains it. At Blissway, we process 11 million images every single day, running detection ...

About the Role You will build machine-learning systems that remove real bottlenecks from drug discovery and development. The role spans research and engineering: identifying valuable problems ...

$150K - $277K/yr

Machine Learning Video Processing Engineer Cupertino, California, United States Hardware Imagine the impact of your work - technologies you help create will be experienced by over a billion people ...

$41 - $54.50/hr

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements.

$77K - $105K/yr

Senior Machine Learning Engineer Position Type: Full-Time/Onsite in Richmond, VA - NO REMOTE Level: Senior Department: Engineering About the Role We are seeking an exceptional Senior Machine Learning ...

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Showing results 21-40

Internship Machine Learning Compiler Engineer information

What is the difference between Internship Machine Learning Compiler Engineer vs Internship Software Engineer?

AspectInternship Machine Learning Compiler EngineerInternship Software Engineer
FocusDeveloping and optimizing compilers for machine learning modelsDesigning, coding, and testing software applications across various domains
SkillsMachine learning, compiler design, programming (C++, Python)Programming, algorithms, software development
Work EnvironmentResearch labs, tech companies, AI-focused teamsTech companies, startups, software firms
Industry UsageAI, machine learning, deep learning industriesBroad software development across industries

Internship Machine Learning Compiler Engineers focus on creating and optimizing compilers for machine learning models, requiring knowledge of AI and compiler design. In contrast, Internship Software Engineers work on developing general software applications across various fields. Both roles involve programming skills but differ in their specialization and industry focus.

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For Internship Machine Learning Compiler Engineer jobs in Kentucky, the most frequently searched job titles are:

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Cities in Kentucky with the most Internship Machine Learning Compiler Engineer job openings:

Infographic showing various Internship Machine Learning Compiler Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Summer 2027 Intern - Machine Learning Engineering

Frankfort, KY • On-site, Remote

Workiva
Software Development • 1 - 5K employees

$40/hr

Full-time

Retirement

Posted 11 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • 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 tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • 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

Preferred Qualifications

  • 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

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

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.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


What Workiva employees say

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Benefits

Hours and flexibility

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