The Data team at Loop is focused on empowering merchants with transformative data products that enhance their success.
As a Machine Learning Engineer, you will turn advanced data capabilities into products that facilitate business growth for merchants.
You will collaborate with the Data team, Software Engineers, and Product Managers to explore ideas, prototype solutions, and implement machine learning systems.
Your work will enhance merchant workflows, improve shopper experiences, and make Loop’s products more intelligent.
This role is hands-on and high-impact, allowing you to grow your skills while contributing to Loop’s product experience.
The position is based in a blended work environment, with options to work from Columbus, OH; Chicago, IL; Austin, TX; or Los Angeles, CA.
The tech stack includes AWS ML ecosystem, Airflow, Kubernetes, Fast API, Fivetran, dbt, Snowflake, Hex, Secoda, and GoodData.
Requirements:
Candidates should have 5–8 years of experience since completing their undergraduate studies, with advanced degrees (like a PhD) or equivalent hands-on experience welcomed.
A minimum of 2-3 years of experience as an ML engineer, data scientist, applied scientist, or similar role in a production environment is required.
Proficiency in Python and familiarity with ML libraries such as Scikit-Learn, PyTorch, or TensorFlow is necessary.
A solid understanding of classical ML techniques (regression, classification, clustering, time series modeling) and deep learning frameworks (CNNs, RNNs, GNNs, transformers) is essential.
Familiarity with deploying models into production and monitoring their performance is expected.
Candidates must be comfortable writing production-quality code and querying data with SQL.
Excellent communication skills are required, especially for collaboration across functions and explaining technical concepts to non-technical stakeholders.
An interest in ethical ML practices and a thoughtful approach to building fair and interpretable systems is important.
Benefits:
The position offers a competitive salary range of $124,000 - $186,000 per year, with adjustments based on experience, location, and market demands.
Employees are eligible for medical, dental, and vision insurance.
Flexible PTO, company holidays, sick & safe leave, and parental leave are provided.
A 401k plan is available for retirement savings.
Additional benefits include a monthly wellness benefit, home workstation benefit, phone/internet benefit, and equity options.
