📍 Columbus, OH | Chicago, IL | Austin, TX | Los Angeles, CA | Remote (USA)
💼 Full-Time | 💻 Remote-Friendly | 💡 Data / ML
Loop is reimagining post-purchase commerce—and data is at the heart of that transformation.
We’re looking for a Machine Learning Engineer to help us design intelligent systems that power seamless shopper experiences, smarter merchant workflows, and innovative product features.
🌟 What You’ll Do
- Collaborate with engineers, PMs, and data teammates to scope, design, and deploy ML features that unlock merchant value.
- Contribute to the training, evaluation, and monitoring of models using PyTorch, Scikit-learn, and FastAPI within the AWS ML ecosystem.
- Support the end-to-end lifecycle of ML models, from pipeline development to production performance tracking.
- Shape best practices around ethical, scalable, and interpretable machine learning at Loop.
- Stay engaged with the broader ML community to bring fresh perspectives into the team.
🔍 You Bring
- 2–3 years of hands-on ML experience in a production environment.
- Strong Python and SQL skills; experience with Scikit-learn, PyTorch, or TensorFlow.
- Familiarity with ML frameworks like CNNs, RNNs, GNNs, and transformers.
- Comfort working cross-functionally and explaining ML concepts to non-technical stakeholders.
- Experience working with cloud ML tools (AWS preferred), model monitoring, and versioning tools.
- A thoughtful, responsible approach to building systems that are fair, explainable, and user-centered.
✨ Bonus Experience (Nice to Have)
- Contributions to open-source ML projects.
- Familiarity with Kubernetes, Docker, or Airflow.
- Knowledge of dbt or working in a modern data stack environment.
- Exposure to agile development practices (Scrum/Kanban).
💰 Compensation & Benefits
💸 Salary Range: $124,000 – $186,000
📈 Equity + 401(k)
🩺 Medical, Dental, Vision Insurance
🏝️ Flexible PTO + Sick Leave
👶 Parental Leave
📦 Wellness + Home Office Benefits
📶 Phone/Internet Reimbursement
🌱 Why Loop?
We’re fixing what breaks in commerce—and building a team culture rooted in empathy, ownership, and real impact. Whether you’re helping brands build stronger post-purchase relationships or mentoring peers in responsible AI, you’ll grow fast and grow well here.