The TMW Center is looking to solve the problem of assessing the quality of early language environments for young children, especially for parents who feel lost without guidance. They aim to use technology, specifically a wearable device and an accompanying app with machine learning, to measure and analyze a child's language environment, providing real-time feedback and guidance to caregivers to enhance these interactions and improve child outcomes.
Requirements
- Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
- Experience with statistical modeling and programming.
- Demonstrated understanding of data science management, Machine Learning and Data operations.
- Prior experience setting up data labeling and validation processes.
- Experience building out ML operations teams and processes.
Responsibilities
- Leads data labeling effort to build ground-truth corpus for existing and future algorithms, including identifying data requirements and protocols.
- Determines validation criteria and metrics across models and settings/partnerships/use cases.
- Collaborates with data management teams, and application development teams to identify and capture the data necessary to perform validation.
- Works with ML and engineering teams to develop and manage pipelines for continuous algorithm validation and optimization.
- Promotes advances in, and creative ML solutions for validation and data management enhancement (e.g., automation of protocols and training pipelines).
- Builds quality assurance processes to continuously assess reliability of data.
- Designs new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
Other
- Minimum requirements include a college or university degree in related field.
- Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
- At least two years of experience managing people.
- Demonstrated ability to work independently with little supervision.
- Excellent strategic planning and execution skills.
