Remote Machine Learning Engineer

Description:

• 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.