AI Developer Intern

What You'll Do:

• Work with team members on diverse projects and tasks. 
• Perform research and analysis to aid project objectives. 
• Create reports, presentations, and necessary documentation. 
• Engage in team meetings and share ideas. 
• Learn and implement industry best practices and company standards. 
• Support basic development and testing of AI chatbot features, including prompts, data inputs, and user interactions.
• Help troubleshoot and improve chatbot performance by assisting with debugging, evaluations, and simple integrations.

AI Developer Responsibilities:  

• Collect, clean, and preprocess large-scale manufacturing datasets. 
• Apply machine learning models (e.g., regression, classification, clustering) to identify trends, anomalies, and predictive insights. 
• Collaborate with engineers and operations teams to translate data findings into actionable recommendations. 
• Develop visualizations and dashboards to communicate results clearly to technical and non-technical stakeholders. 

What You'll Receive

• Must be enrolled in a bachelor's program in a relevant discipline at an accredited university, with an anticipated graduation date between December 2026 and May 2028 (rising junior or rising senior). 
• Demonstrated strong academic performance with a minimum GPA of 3.0. 
• Must be available to work full-time for 12 weeks during the summer of 2026. 
• Must have reliable transportation to and from the work location. 
• Must be authorized to work in the US. 

Preferred Requirements:   

• Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.  
• Significant familiarity with Python, R, or similar programming languages.  
• Strong understanding of machine learning concepts and tools (e.g., TensorFlow, PyTorch).  
• Strong analytical and problem-solving skills.  
• Good communication skills and ability to work in a collaborative environment. 

What You'll Receive

As of the date of this posting, a good faith estimate of the current pay scale for this position is $22 to $25. Placement in the range depends on several factors such as experience, skills, geography and may change over time.

• Full-time work experience and competitive pay  
• Meaningful projects
• Mentorship and guidance
• Feedback and evaluation
• Company culture  
• Networking opportunities and skill development