Machine Learning Engineer - Remote

Overview

The Data team at Loop is on a mission to empower merchants with transformative data products that drive success beyond returns. By building tools that merchants love and fostering a robust data culture, the team enables smarter decision-making across the board. Whether creating insights to guide merchants’ strategies or strengthening internal data-driven processes, the Data team is integral to shaping Loop’s future and unlocking new opportunities for our merchants and teams alike.

In Short

• Collaborate with cross-functional partners to scope ML use cases.
• Support the development and deployment of ML solutions.
• Design and maintain data pipelines for scalable ML systems.
• Contribute to best practices and tools for responsible ML.
• Stay engaged with the broader ML community for skill growth.
• 5-8 years of experience in relevant fields.
• 2-3 years as an ML engineer or similar in a production environment.
• Proficient in Python and familiar with ML libraries.
• Solid understanding of classical ML techniques and deep learning frameworks.
• Excellent communication skills for cross-functional collaboration.

Requirements

• Experience with deploying models into production.
• Production-quality coding and SQL querying skills.
• Interest in ethical ML practices.
• Contributions to open-source ML projects (nice-to-have).
• Experience with agile methodologies (nice-to-have).
• Knowledge of container technologies like Docker (nice-to-have).
• Knowledge of dbt (nice-to-have).

Benefits

• Work in a blended environment with flexibility.
• Collaborate with a diverse team of professionals.
• Opportunity for professional growth and skill development.
• Contribute to impactful projects that drive merchant success.