Data Science Computer Vision Internship at University of Illinois, Urbana-Champaign Research Park

Company Name:

Cargill

Category:

Data/Analytics

Status:

Internship

Contact Email:

Apply Online

Description:

Cargill provides food, agriculture, financial and industrial products and services to the world. Together with farmers, customers, governments and communities, we help people thrive by applying our insights and over 150 years of experience. We have 155,000 employees in 70 countries who are committed to feeding the world in a responsible way, reducing environmental impact and improving the communities where we live and work.

Data Science Computer Vision Internship at University of Illinois, Urbana-Champaign Research Park-UNI05801

Description

YOU MUST CURRENTLY BE ENROLLED AT THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN (UIUC) FOR THIS INTERNSHIP OPPORTUNITY WITH CARGILL AT THE UIUC RESEARCH PARK.

Want to work at the forefront of artificial intelligence and agriculture? In partnership with Cargill, at the University of Illinois, Urbana Champaign (UIUC) research park, you will be given the opportunity as a graduate level intern to apply knowledge gained in the classroom to a real-life environment and then multiply by tenfold. Cargill has a significant presence across agricultural supply chains. With that footprint comes massive amounts of data, much of it in the form of pictures or video. Computer vision is a key and growing aspect of the Cargill Data Science team. Detecting objects, estimating size, categorizing variations, and tracking objects are all important inputs to the agricultural supply chain and building out a platform utilizing these capabilities if very important.

As a Data Science Intern, from day one, you will be an integral part of the team working with the engineering and data science teams, and will tackle real challenges, cultivate your curiosity, have client exposure, enjoy both personal and team accomplishments and have your initiative acknowledged along the way. You will collaborate and build relationships with colleagues and clients who represent diverse work, culture and resolution styles. We look for people who want to grow, support, think and produce.

This position is part of the Engineering and Data Sciences team. Your project will connect you back to the business where you will interact with a multidisciplinary team. You will bring strong technical skills to our data science capabilities. You will explore, connect, and mine data; plus develop models using algorithms for pattern detection. In this position you will be part of the Computer Vision Capability where you will be working to solve a variety of technical challenges, develop prototypes and build out a computer vision platform.

20% - Work in a cross-disciplinary project team of software engineers, database specialists, data scientists, and business subject-matter experts to develop a project plan and deliverables, plus communicate technical solutions to a non-technical audience.
10% - Design strategies and propose algorithms to analyze and leverage data from a variety of sources.
70% - Develop and code models by applying algorithms to large structured as well as unstructured data, completing project deliverables

Job Location: University of Illinois, Urbana-Champaign in Champaign, IL

Required Qualifications:

Must be currently enrolled in a Masters or PhD program at the University of Illinois, Urbana Champaign in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date after Summer 2020
Able to complete at minimum a semester long internship during the 2019-2020 academic school year or a minimum 12 week internship during the summer (May/June - August 2020)
Experience developing and testing machine learning or statistical projects.
Strong background in Computer Vision including Image/Video Processing, Object Detection, Classification and Tracking. Knowledge and experience on using deep learning tools (e.g. TensorFlow, MXNet, PyTorch, etc.) for image/video analytics
In-depth knowledge of various other modeling algorithms, e.g., regression, trees-based models, neural networks, ensembles, etc.
Interested in learning model deployment in a Production Setting
Proficiency in Python (e.g., pandas, scikit-learn, bokeh, matplotlib, NumPy)
Ability to understand complex and ambiguous business needs and apply the right tools and approaches.
Curious, self-motivated, driven, and have a passion for problem solving.
Collaborative team player.
Excellent communication skills, both written and verbal.
Strong presentation skills. Ability to present technical solutions to non-technical persons in an easy to understand way.

Preferred Qualifications: