TeddyBot is a conversational AI companion for elders. The TeddyBot amulet can be placed on any object (e.g., stuffed animals), transforming it into a highly personalized, enriching companion for elders that combat loneliness and cognitive decline, support healthy routines, and help elders record their legacies for generations to come. We stand for ethical AI that actually improves quality of life for elders.
TeddyBot is looking for a founding engineer to lead our development from our prototype to pilot ready MVP.
This position is not available for C2C. Direct C2H or W2 only.
Responsibilities
- Assist in the development and refinement of machine learning models for TeddyBot, focusing on natural language processing, image recognition, and speech synthesis.
- Work with Python and ML frameworks (such as TensorFlow or PyTorch) to implement, train, and fine-tune models.
- Collaborate with the AI team to prepare and preprocess datasets for model training, including speech, text, and images.
- Participate in the development of generative AI (GenAI) applications for creating educational content, such as interactive stories, personalized learning activities, and engaging games.
- Contribute to the evaluation and testing of AI models to ensure they meet ethical guidelines and promote inclusivity.
- Assist in the research and implementation of the latest ML techniques and methodologies to improve TeddyBot’s learning and interaction capabilities.
- Work closely with the development team to integrate AI models into the TeddyBot platform, ensuring seamless functionality and user experience.
- Participate in team meetings and provide insights into machine learning advancements and their potential applications in educational robotics.
Qualifications
- Graduate of college program with a focus on Computer Science, Artificial Intelligence, Robotics, or a related field.
- Demonstrated experience with Python programming and familiarity with machine learning libraries and frameworks (TensorFlow, PyTorch, Keras, etc.).
- Deep understanding of machine learning concepts, including supervised and unsupervised learning, neural networks, and deep learning.
- Experience in generative AI (GenAI) technologies, including image, speech, and text generation.
- Creative thinker with a passion for educational technology and a commitment to ethical AI practices.
- Excellent problem-solving skills and the ability to work independently as well as part of a team.
- Strong communication skills, with the ability to articulate ideas and contribute to discussions on AI development and applications.
