Remote Machine Learning Engineer at Civitas Learning

Description:

Civitas Learning is seeking a Machine Learning Engineer for a remote role based out of LATAM.
The company aims to help one million more higher education students graduate each year by leveraging technology, data science, and forward-thinking solutions.
The role involves building and maintaining scalable and performant machine learning models from analysis to production pipeline.
Responsibilities include developing new features and maintaining existing machine learning models and pipelines.
The engineer will validate new and existing models to ensure they operate within acceptable thresholds.
The position requires collaboration across multiple products and engineering teams to resolve customer issues.
The engineer will perform ad hoc statistical analysis and machine learning investigations.
The role includes leading other engineers in software engineering design and best practices with a focus on customer satisfaction.

Candidates must have 5-10+ years of experience in software engineering, data science, and/or statistical analysis.
Experience in designing, debugging, and building modern machine learning algorithms and pipelines is required.
Expertise in statistical analysis, Python/Scala/R, and machine learning libraries such as Pytorch, Pandas, TensorFlow, and Scikit is essential.
Proficiency in RDBMS (PostgreSQL, SQL Server, Oracle, DB2, etc.) and SQL is necessary.
An intermediate English reading level is required.
Experience with AWS, Docker, DuckDB, Redshift, and Quicksight is considered a significant bonus.

Civitas Learning promotes a collaborative and inclusive work environment where new ideas and innovations are welcomed.
The company values a healthy work-life balance while taking its mission seriously.
Employees have the opportunity to work on impactful projects that drive student success and improve higher education outcomes.
Civitas Learning is committed to inclusion and diversity, ensuring equal opportunity for all employees.