Job Description Template: AI Engineering Intern
AI Engineering Intern Job Description
Full-Time/Part-Time | Remote/Hybrid/Onsite | Location
$19/hour (Suggested salary range for this role per Zip Recuiter)
Why [Company]?
Introduce your organization in 3–5 sentences. This is the perfect place to explain what you do and why your company is a great place to work! For example, here's our bio:
Our mission is simple: we want to set people free to do meaningful work. People love our software—and it turns out that people love working here, too. BambooHR has been recognized as a "Best Company to Work For," and we're proud of our team for creating software that makes an impact in the lives of HR pros and employees all over the world.
About Your Role
Give a general overview of what this person will do at your company. For example:
As an AI Engineering / Data Science Intern, you will contribute to our growing AI and machine learning initiatives. You’ll make a meaningful impact by harnessing data while working alongside our incredible data science and AI applications teams. You’ll be paired with a skilled mentor who will help you develop your skills and make the most of your internship experience. If you get a kick out of solving problems and working with data to derive insights that will help lift people at work, you will love our team.
What You'll Do
List specific job responsibilities. For example:
- Collaborating with business stakeholders to understand needs and opportunities
- Creating exploratory data analysis and visualizations
- Building machine learning models to improve customer experience or key processes
- Using NLP and LLMs to interpret textual data and work with conversational interfaces
- Writing scripts and code to deploy and tune AI applications
What You'll Need to Get the Job Done
List what a qualified candidate needs to do their job effectively. For example:
- Computer Science, Data Science, Applied Mathematics or related degree
- Data querying and transformation with SQL and Python
- Coding software that works with data
- Data exploration and visualization
- Familiarity with the workings of LLMs and prompt engineering
- Machine learning algorithms, neural networks, and predictive modeling
- Exposure to cloud-based computing environments such as AWS and GCP
What Will Make Us Really Love You
List the soft skills or "nice-to-haves" that will help your candidate be successful. For example:
- An ambitious desire to dive into the work through curiosity and an eagerness to learn
- Excellent organizational and communication skills
- Strong attention to detail and problem-solving abilities
What You'll Love About Us
Describe your company's benefits, culture, work environment, and anything else that makes your organization stand out. For example:
Our company's mission and values are rooted in integrity and guide every aspect of our organization, from how we serve our community to how we interact as a team. As we've grown throughout the years, our employees remain at the heart of our success. To show our appreciation, we offer a generous compensation package that includes the following:
- Retirement: 401(k) plan with employer matching
- Healthcare: Medical, dental, vision, and mental wellness coverage
- Life insurance: Group life insurance through our partner
- Charitable giving: Donation matching to a charity of your choice
- Time off: Flexible PTO policy with floating holidays
- Career development: Professional development reimbursement program
- Family care: Parental leave for all new parents
More About Our Company
Add your equal employment opportunity (EEO) statement, a note about required background checks, and other things a candidate may want to know before applying.
We're committed to providing equal employment opportunities (EEO) to all candidates, without discrimination based on race, religion, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by federal, state, or local laws, including Title VII of the Civil Rights Act of 1964 and the Americans with Disabilities Act (ADA). Following the Immigration Reform and Control Act of 1986, all new hires must verify their identity and eligibility to work in the United States.