Responsibilities:

• Assist in the development of new and existing classification models that process billions of documents at a time.
• Research methods to expand, augment, and enhance labeled datasets.
• Work closely with Classifiers and Extractors engineering team and Data Engineering team to integrate models and deliver to production environments.
• Work with and manage very large (and messy) data sets; build ML pipelines that scale to work with this data effectively.
• Perform statistical analysis to understand model performance.

Knowledge, Skills, Abilities:

• Experience building and testing ML models or building applied multivariate statistical models, particularly for data classification
• Experience with self-supervised and semi-supervised learning.
• Proficiency with Python and/or related analytical programming languages
• Familiarity with Machine Learning and data processing related Python packages such as Scikit-learn, Pandas, Numpy, or Tensorflow.

Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity, and inclusion. We seek dynamic professionals from all backgrounds to join our team, and we encourage our employees to bring their authentic, original, and best selves to work.

#LI-Remote