Instructor. AI & Machine Learning Python

Circuit Stream is a leader in future technology skills training and learning content. We offer world-class educational services for teen and adult learners with a focus on the skills needed to leverage immersive and emerging technology.

We are seeking a passionate Software engineer or AI/ML developer with a deep understanding of AI and machine learning to instruct our Level 1 AI & Machine Learning with Python course for learners aged 13-18. In Level 1, students will be learning the algorithms and techniques behind recommendation systems, and how to combine it with a smart, interactive chatbot. The ideal instructor candidates for these courses should possess a strong foundation in Python 3, Python libraries (PyCharm Surprise, Num Py and Scikit-learn), Open AI, machine learning algorithms, as well as some teaching, TA or training experience.

Level 1: AI & Machine Learning with Python (beginner course) is offered two times at the University of Texas at Dallas campus
. Instructors hired to teach this course must be available M-F from 9:00am-3:30pm CT from June 1-12 and again from July 13-24, 2026 (plus 1 week in May for training).

Candidates selected for interviews will be contacted starting in March 2026.

• Create lesson plans and lead engaging and comprehensive classroom sessions with teen learners following Circuit Stream's AI & Machine Learning with Python course curriculum for Level 1 or Level 2 (curriculum and Instructor guides provided)
• Provide constructive feedback, guidance, and mentorship to students as they ideate, develop, and iterate on their final Chatbot project
• Showcase proficiency in AI and Machine Learning concepts
• Share real-world experiences, case studies, and insights to offer students a holistic understanding of the field
• Grade and provide feedback on assignments and final projects that accurately measure student understanding and progress within the course.

• Availability to teach during the day (from 9am-3:30pm) in June and July 2026 (dates listed above)
• Previous industry experience in software engineering or AI and Machine Learning specialties
• Degree or Diploma in Computer Science, Software Engineering or a related field OR Masters students currently pursuing Master of Science (M.Sc.) in Computer Science.
• Proficiency in Python (pandas and scikit-surprise), machine learning concepts and OpenAI API
• Strong presentation, communication, and interpersonal skills
• Ability to convey complex concepts in an accessible and engaging manner.
• Innate logical thinking and the ability to inspire and nurture logical thinking in students
• A passion for guiding and mentoring students, fostering their growth, and providing meaningful feedback
• Willingness to adapt to evolving curriculum needs, industry trends, and emerging technologies
• A collaborative attitude, eager to contribute to a positive and supportive team environment
• A proactive attitude towards ongoing professional development and a willingness to learn and stay up-to-date with industry advancements
• A strong portfolio of relevant work to showcase your skills and experience
• Previous experience teaching coding to kids/teens or experience as a teaching assistant for university or college level courses

• Curiosity:
  We believe in asking questions, listening to new ideas, and gathering feedback from our teammates and community, as their voices form the foundation of our work.
• Courage:
  To achieve great things requires accepting the risk of getting things wrong. We embrace this attitude and believe it’s a mindset necessary to succeed and innovate.
• Ownership:
  We believe that how you do anything is how you do everything. We hold ourselves accountable to the highest standards and ensure our team and community can rely on us to deliver our absolute best at all times.
• Bias for Action:
  We move quickly and take action. We put our work out there early and often, knowing that we will iterate and improve over time. We value speed and keeping pace with innovation.
• Objective:
  When making decisions, we lead with data before opinions. Data creates transparency and alignment towards work with the largest impact.
• Open:
  We…