Remote Machine Learning Engineer

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 and data science.
• The role involves building and maintaining scalable and performant machine learning models from analysis to production pipeline.
• Responsibilities include performing new feature development and maintenance on all Civitas machine learning models and pipelines.
• The engineer will validate new and existing machine learning 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 also perform ad hoc statistical analysis and machine learning investigations.
• Leading other engineers in software engineering design and best practices with a focus on customer satisfaction is also a key responsibility.

Requirements:

• Candidates must have 7+ 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.

Benefits:

• The position offers a salary range of $60,000—$80,000 USD.
• Civitas Learning promotes a healthy work-life balance and values collaboration and inclusivity.
• The company is committed to diversity and inclusion, ensuring equal opportunity for all applicants.
• Employees have the opportunity to work on impactful projects that aim to improve higher education outcomes for millions of students.