Remote Machine Learning Engineer at Civitas Learning

Description:

Civitas Learning is seeking a Machine Learning Engineer to join their remote team in LATAM.
The company aims to help one million more higher education students graduate each year by leveraging technology and data science.
The role involves building and maintaining scalable and performant machine learning models from analysis to production pipeline.
The engineer will perform both new feature development and maintenance on all Civitas machine learning models and pipelines.
Responsibilities include validating new and existing machine learning models to ensure they operate within acceptable thresholds.
The engineer will work across multiple products and engineering teams to resolve customer issues.
The position requires performing ad hoc statistical analysis and machine learning investigations.
The engineer will lead other talented 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 huge bonus.

The position offers a salary range of $60,000—$80,000 USD.
Civitas Learning promotes a collaborative and inclusive work environment where new ideas and innovations are encouraged.
The company values a healthy work-life balance and aims to make the work enjoyable while taking their mission seriously.
Civitas Learning is committed to inclusion and diversity, ensuring equal opportunity for all employees.