Label Insight - Voted one of Chicago's Top 50 Best Small Places to Work - Join us!

About the Engineering Team:   

Our Engineering team is chock-full of smart, dedicated, and creative team members. Each one has a desire to experiment with new and unfamiliar technology to solve their cross-functional (XFN) team's business objectives. We're passionate about best practices and strive to follow standards laid out before us. The team is encouraged to get involved in the tech community by participating in open source projects, speaking at local meetups, and presenting at national and international conferences.

About the role:

Label Insight’s core business model is extracting meaning from product packaging. This involves the processing of both semi-structured data such as Nutritional Fact Panels, Ingredient lists to unstructured natural language such as marketing claims, product descriptions and preparation instructions with a strong focus on text classification.

About You:

• You will assist with improving existing models that include, Image Classification, Optical Character Recognition (OCR), Natural Language Understanding (NLU)
• Help in the definition and tuning of developed models in real-world production data processing pipeline
• Collaborate with engineering teams to ensure maximum business value from data science initiatives
• Interact cross-functionally with a wide variety of people and teams
• Perform data analysis on large, complex data sets
• Provide guidance on data visualization on large, complex data sets
• Use the latest technologies to solve business-critical problems 

Requirements:

• Knowledge with at least one statistical software (e.g., R, Python, Julia, MATLAB, pandas) and database languages (e.g., SQL).
• Demonstrated skills in selecting the right statistical tools given a data analysis problem.
• Demonstrated knowledge in one or more of the following Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
• Exposure to one or more of the latest industry technologies and processes (AWS, S3, SQL, Jupyter, SageMaker, Event Driven Systems, Version Control)  

At the end of this internship you will have:

• Gained experience working in a unique startup company environment with an emphasis on collaboration.
• Worked on production systems applying the latest approaches in both Data Science and Data Engineering to solve real-world data problems
• Gained experience with tools, processes, and frameworks used to support a technology business built on large, complex data sets
• Gained an in-depth knowledge of Customer Package Goods domain with a focus on nutritional science

We Share a Common Purpose:

Label Insight’s purpose is to empower consumers with the knowledge to improve their lives through better product choices. Our purpose keeps our team focused and aligned as we drive growth for our grocery retailer and CPG customers through unparalleled transparency.

We Live Our Values:

• Transparency: We share information freely and concisely as a team
• Collaboration: We respect diversity and work toward the solution together
• Iteration & Innovation: We speak up early, are honest about our limits, and leverage failure as an asset
• Intellectual Honesty & Humility: We encourage open debate and favor the best ideas
• Accountability: We own the successes and failures of our team
• Quality Driven: We hold our work to the highest standards and embrace problems as opportunities

The Perks of Joining Us this Summer:

• Casual and collaborative, open-layout work space - dog-friendly office in Chicago
• Catered team lunches - every other week
• Cold brew and beer (for those 21yr and up) on tap
• Regularly scheduled team gatherings
• Opportunity to work and collaborate with full time team members, as well as other interns

*At Label Insight we embrace diversity and are committed to building a team that represents a variety of backgrounds and qualifications.  We’re proud to be an Equal Opportunity Employer.