Key skills
AI Solutions EngineeringMachine Learning ImplementationPythonPyTorchCloud Platforms AWSCloud Platforms Google CloudDeep Learning FrameworksNatural Language ProcessingInterest in EducationTechnical CommunicationTeam CollaborationJavaRAIMachine LearningDeep LearningGenerative AITensorFlowKerasAWSGoogle CloudCommunicationCollaboration
About this role
Amplify is a pioneer in K–12 education, leading the way in next-generation curriculum and assessment. The AI Engineer will integrate sophisticated AI technologies into Amplify's products and internal processes, focusing on developing cutting-edge AI solutions and collaborating with diverse teams.
Responsibilities:
- AI Solutions Engineering: Develop and implement cutting-edge AI solutions to augment our product suite, focusing on functionality and efficiency
- Machine Learning Implementation: Design and deploy intricate machine learning models to address complex challenges, contributing to product development and strategy
- Cross-functional Collaboration: Work closely with diverse teams including learning scientists, data scientists, content experts, product managers, and engineers
- Technical Communication: Effectively communicate AI concepts and implementations to diverse audiences; create clear and understandable technical documentation
- Innovation and Growth: Stay current with AI advancements and integrate these into our models and strategies
- Knowledge Sharing: Help other teams at Amplify understand generative AI's applications and limitations
Requirements:
- A MS degree in Computer Science, AI, Machine Learning, or related field with a strong programming background
- 3+ years of experience in AI and software development in a commercial environment
- Understanding of ethical implications of AI, including fairness, accountability, data privacy concerns, especially as they pertain to educational environments
- Demonstrated experience in applying AI solutions to a variety of problem domains
- Proficiency in languages like Python, Java, R, etc
- Proven experience with PyTorch, TensorFlow, and similar machine learning frameworks is essential
- Experience with cloud platforms (AWS, Google Cloud, etc.) for AI development and deployment, and with devops tooling
- Strong ability to communicate complex technical concepts to non-technical audiences
- Lifelong interest in contributing to the field of education
- Demonstrated ability to work in small teams, independently, creatively, with a 'can-do' attitude
- PhD in a relevant field
- Advanced proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras, etc.)
- Knowledge of natural language processing and related fields
- Exposure to or knowledge of the education sector or EdTech industry