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