We are seekinga highly motivated and talented Computer Science Graduate student to join our team as an
Artificial Intelligence intern. In this exciting position, you will have the opportunity to work on cutting-edge AI/ML enabled applications in the fleet space, utilizing data from fuel transactions and telematics. You will gain valuable hands-on experience creating real-world applications that make a difference. If you are passionate about AI, machine learning, and want to make an impact in the fleet industry, we would love to hear from you.
Our Summer Internship Program puts you in the heart of one of the most strategic companies in the world. You will partner with multiple team members, collaborate with different departments, focus on specific projects, which you will support and even lead. Your expertise will help solve problems that may not even exist today. Our guidance and education throughout this journey will help build your confidence, expand your professional experiences and help improve your leadership skills. Our Program runs for approximately 13 weeks from the end of May to mid-August. Internships are paid and available for those seeking remote, hybrid, and onsite opportunities.
WEX hires the brightest, most talented individuals into our program. Many of our interns end up securing full-time positions or receive extended internship opportunities within the company after completing their initial program. If you perform well and align with our values, you might have the chance to kickstart your career with us.
How You'll Make an Impact- Collaborate with a multidisciplinary team to develop prototypes for AI/ML enabled applications in the fleet space
- Analyze and process large datasets, including fuel transactions and telematics data
- Leverage machine learning techniques such as classification and regression to develop predictive models
- Implement algorithms using Python, OpenAI, LangChain, and Dataiku
- Contribute to the design, development, testing, and deployment of innovative AI/ML solutions
- Participate in team meetings and present your work to stakeholders
Experience You'll Bring- Currently enrolled Master's program in Computer Science, Data Science, or a related field
- Strong programming skills, with proficiency in Python
- Experience with AI/ML frameworks, such as OpenAI and LangChain
- Familiarity with data processing and analysis tools, such as Dataiku
- Knowledge of machine learning techniques, including classification and regression
- Strong problem-solving skills and the ability to learn quickly
- Excellent communication and teamwork skills
- Demonstrated interest in the fleet industry and AI/ML applications
Preferred Qualifications:- Previous experience working with telematics or fuel transaction data
- Knowledge of advanced machine learning techniques and deep learning frameworks
- Experience with cloud computing platforms, such as AWS or Google Cloud
- Familiarity with Agile development methodologies
What We Offer:- A dynamic, innovative, and collaborative work environment
- Opportunity to work on real-world projects that have a direct impact on the fleet industry
- Mentorship from experienced professionals in the field of AI/ML
- Networking opportunities with industry experts
- Competitive internship compensation
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the About Us section.