Machine Learning Engineer

Summary

Join Loop's Data team as a Machine Learning Engineer and build data products that empower merchants. Collaborate with cross-functional teams to develop and deploy ML solutions, contributing to model training, evaluation, and iteration. Help design and maintain data pipelines and infrastructure for reliable, scalable ML systems. Contribute to responsible ML practices, best practices, and tools. Stay engaged with the broader ML community to grow your skills and bring new ideas. This hands-on role offers high impact and significant growth opportunities within Loop's product experience.

Requirements

• 5–8 years of experience since completing your undergraduate studies; we welcome candidates with advanced degrees (like a PhD) and those with nontraditional paths who’ve gained equivalent experience through hands-on work
• 2-3 years of experience as an ML engineer, data scientist, applied scientist, or other applied ML practitioner in a production environment
• Proficient in Python and familiar with ML libraries such as Scikit-Learn, PyTorch, or TensorFlow
• Solid understanding of classical  ML techniques such as regression, classification, clustering, and time series modeling, as well as deep learning frameworks such as CNNs, RNNs, GNNs, and transformers
• Familiarity with deploying models into production and monitoring performance over time, even if not the lead on those systems
• Comfortable writing production-quality code and querying data with SQL
• Excellent communication skills, especially when collaborating across functions or explaining technical concepts to non-technical stakeholders
• An interest in ethical ML practices and a thoughtful approach to building systems that are fair, interpretable, and grounded in real-world use

Responsibilities

• Work collaboratively with cross-functional partners, including software engineers, product managers, operations, and the rest of the Data team, to scope ML use cases, refine model requirements, and support delivery of features that drive merchant value
• Support the development and deployment of ML solutions, contributing to model training, evaluation, and iteration with guidance from more senior team members
• Help design and maintain data pipelines and infrastructure that support reliable, scalable ML systems
• Contribute to the way we build responsibly with machine learning at Loop, contributing to best practices, tools, and lightweight processes that expand our capabilities
• Stay curious and engaged with the broader ML community to continue growing your skills and bringing new ideas into the team

Preferred Qualifications

• Contributions to open-source ML projects and libraries
• Experience with agile software development methodologies like Scrum or Kanban
• Knowledge of container technologies like Docker and orchestration tools like Kubernetes
• Knowledge of dbt

Benefits

• Medical, dental, and vision insurance
• Flexible PTO
• Company holidays
• Sick & safe leave
• Parental leave
• 401k
• Monthly wellness benefit
• Home workstation benefit
• Phone/internet benefit
• Equity