On the Numerator Engineering team at Numerator, you’ll work alongside professional engineers to learn and apply software engineering principles while contributing substantial features to the company’s market research and data processing software. You’ll collaborate daily with teammates and a dedicated mentor to design, code, test, and release production-quality features in a big data pipeline using technologies like Python, Django, MySQL, computer vision, and machine learning. You’ll also build essential non-technical skills, including effective communication and teamwork in a professional engineering environment.
Commitments
You’ll be supported by a team whose members each bring distinct areas of expertise and are available to collaborate and share their experiences with you.
Responsibilities
Work side by side with our Numerator Engineering team members to learn and contribute to building our market research software.
This is a hands-on role designed to introduce professional software engineering principles and practices to contribute to our data processing software.
Take on substantial tasks that will contribute to our existing codebase.
Have daily interactions with engineers on the Numerator engineering team.
Each member of the team has their own areas of expertise and they will all be available to collaborate and share experiences.
Work with our big data pipeline that includes skills such as computer vision, machine learning and data processing using technologies such as Python, Django and MySQL.
Gain practical experience working as a professional engineer, which includes non-technical skills such as communication and working as a team.
Work with an engineering mentor to design and code features for our software pipeline.
Perform testing and verify that code is correctly released into our production system.
What You'll Bring to Numerator
Commitments
Each member of the team has their own areas of expertise and they will all be available to collaborate and share experiences.
Not Met Priorities
What still needs stronger evidence
Requirements
Work with our big data pipeline that includes skills such as computer vision, machine learning and data processing using technologies such as Python, Django and MySQL.
Gain practical experience working as a professional engineer, which includes non-technical skills such as communication and working as a team.
Work with an engineering mentor to design and code features for our software pipeline.
Understanding of Python stack
Machine Learning and Modeling interest
Strong eye for design quality and intuitive user experience
Preferred Skills
Work with our big data pipeline that includes skills such as computer vision, machine learning and data processing using technologies such as Python, Django and MySQL.
Machine Learning and Modeling interest
Data analytics & visualization a bonus
We’re reinventing the market research industry. Let’s reinvent it together. At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. Numerator is looking for a team player that has a passion for learning backend applications as a Backend Engineering Intern . Work side by side with our Numerator Engineering team members to learn and contribute to building our market research software. This is a hands-on role designed to introduce professional software engineering principles and practices to contribute to our data processing software. How You'll Spend Your Time:
Take on substantial tasks that will contribute to our existing codebase. Have daily interactions with engineers on the Numerator engineering team. Each member of the team has their own areas of expertise and they will all be available to collaborate and share experiences. Work with our big data pipeline that includes skills such as computer vision, machine learning and data processing using technologies such as Python, Django and MySQL. Gain practical experience working as a professional engineer, which includes non-technical skills such as communication and working as a team. Work with an engineering mentor to design and code features for our software pipeline. Perform testing and verify that code is correctly released into our production system. What You'll Bring to Numerator
Understanding of Python stack Machine Learning and Modeling interest Strong eye for design quality and intuitive user experience Data analytics & visualization a bonus
Numerator
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Chicago, IL