The Role
As a Machine Learning Engineer Intern, you will design and develop AI applications, conduct machine learning experiments, and work collaboratively with engineers on client projects.
Summary Generated by Built In
KUNGFU.AI is a management consulting and engineering firm focused exclusively on artificial intelligence. We empower CEOs and senior executives to leverage the full potential of AI so they remain competitive in a rapidly evolving world.
Our expert team delivers AI strategy and bespoke production-grade solutions that allow clients to rapidly realize value. We stand apart because we implement our AI strategies into production quickly, safely, and responsibly.
Outside of our virtual walls we are painters, foodies, cocktail connoisseurs, musicians, crossword-doers, athletes, dungeon masters, non-profit board members, and more. We’d welcome the opportunity to meet you.
This position sits at the cutting-edge of machine learning and software engineering. As an Engineering Intern, you will be responsible for designing and developing AI and machine learning applications for our growing client base. You should be familiar with some of the following concepts:
-Machine Learning
-Computer Vision
-Natural Language Processing
-Time-Series
-Classification
-Reinforcement Learning
Interns at KUNGFU.AI work on both internal and external projects. You will be paired with senior engineers and gain experience working on live client-facing projects. To be considered for our spring internship, you must be able to work a minimum of 15 hours per week, between 9:00 a.m. and 5:00 p.m. CST.
We are looking for candidates who are in their Senior year of college or Graduate students.
The application deadline for the Spring cohort is November 21, 2025. The Spring cohort will start in January and conclude in May. Candidates can be located anywhere in the US, but Austin is preferred, as our Engineering leadership is located there. Candidates must also be legally authorized to work in the United States.
Here's what you'll be doing:
- Conducting diverse machine learning experiments in a collaborative environment that values knowledge sharing, inclusivity, and trust
- Partnering with engineers in a pair programming setting to translate theoretical models into robust, scalable solutions
- Engaging in client-facing activities, building lasting partnerships by effectively bridging cutting-edge technology with real-world business needs
- Collaborating with cross-functional project teams and fostering a culture of continuous improvement
- Staying at the forefront of machine learning advancements, ensuring our solutions are informed by the latest techniques and innovations.
What we'd like to see:
- You’ve worked on a few machine learning projects, whether from coursework or previous internships, and have familiarity with a range of model types and architectures
- Someone who is proficient and quite comfortable programming in Python, as that's mostly what we use here
- Experience with object-oriented programming, code hygiene, basic version control, etc. We work on PoCs and prototypes, but also deploy and productionalize a portion of our work, so some basic software engineering ability is a huge help
- Adaptability, plain and simple. Our engineers are constantly adapting to new and different technologies, industries, and environments due to the nature of consulting and the rapid pace of AI research
- Someone who's comfortable working with deadlines and is confident in their time management
- Someone who's a great communicator. You're comfortable communicating with both technical and non-technical audiences
- We're huge on continuous learning. We always look for individuals who have an almost insatiable thirst for knowledge and a deep love of problem-solving
KUNGFU.AI Culture
We are committed to building an inclusive culture that’s professional and effective, while also fun, collaborative and open. We are proud to be the first company to take The Startup Diversity and Inclusion Pledge, which one of our co-founders started. We actively encourage people from underrepresented groups to apply. We believe that a diverse and inclusive workforce fosters more creative ideas, conversations, and results.
We also believe in using AI for Good in both our client projects and our corporate philanthropy.
Our values are incredibly important to how we show up for each other, our clients, and for society at large. We expect all of our team members to be:
Inquisitive, in that they have an innate desire to learn and teach.
Inventive, in that nothing (ego, fear, etc.) gets in the way of innovation.
Open, in that they willingly share their learnings and experience with all.
Caring, in that they prioritize self-care, empathy, and an understanding of others.
Trustworthy, as that underpins all of the above.
Top Skills
Computer Vision
Machine Learning
Natural Language Processing
Python
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Kung Fu AI.
[/kuhng foo/] - noun - Discipline or skill achieved through hard work and practice.
KUNGFU.AI is an AI services provider helping companies transform data into augmented capabilities that achieve ambitious goals. We help from strategy to implementation, using data and AI to see new trends, develop new ideas, and optimize operations to better serve the people who matter most.
Our difference:
Expertise. Our blended teams of senior business executives, data scientists, and IT leaders bring comprehensive capability help end-to-end -- through data modernization to AI strategies and implementations.
Focus. We believe in Practical AI where we focus on applying the simplest solutions to tackle the biggest business challenges. We identify narrow use-cases ripe for solving with available technologies to de-risk and accelerate adoption.
Values. We use AI for good. We believe in using AI to augment good people to accomplish great things. On the flip side, we turn down work that doesn't align with our values. We also use the time we're not working to delight clients for pro bono work to help make the world a better place.
