Senior Platform Engineer, Machine Learning
Fieldguide- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates must have at least 5 years of experience as a Machine Learning Engineer, demonstrating strong expertise in Natural Language Processing (NLP), particularly with transformers, and proven experience in developing machine learning models and algorithms. They should possess experience with Deep Learning frameworks like Tensorflow, Keras, or Pytorch, along with strong Python programming skills and expertise in SQL for data manipulation and analysis. Familiarity with LLMs, Prompt Engineering, AWS services, and experience developing model APIs using Python frameworks such as FastAPI and BentoML, as well as search and recommender systems, is preferred.
The Senior Machine Learning Engineer will develop and implement machine learning algorithms to solve complex problems, design and maintain data pipelines, including transformations and preprocessing, and create and optimize innovative algorithms for various applications. They will conduct data analysis to identify trends and insights, test hypotheses and validate models through rigorous experimentation, and develop methods for effective data analysis and insight generation.
Provides tailored educational content for K-12
Newsela offers tailored educational content for K-12 students, providing engaging instructional materials in subjects like English Language Arts, Science, and Social Studies. Schools and districts subscribe to access a library of articles that are updated daily and available at five different reading levels, ensuring accessibility for all students. The platform integrates with Learning Management Systems and includes features like activities and reporting tools to support teachers. Newsela's goal is to enhance student engagement and improve teaching methods through flexible, standards-aligned resources.