Machine Learning Intern

iManage • Chicago, IL

2d • Onsite

About The Position

iManage U provides students the chance to experience a dynamic, rapid growth technology company firsthand. iManage will provide a structured program which delivers project-based activities, improved knowledge of business fundamentals, tackling complex problem solving, collaboration, team building, and some fun experiences along the way! This year, our paid internship program will kick-off on Monday, June 8th and will run through Thursday, August 13th. This internship will be based out of our downtown Chicago office, with activities requiring in-person presence. Goals of the Program: iM Making An Impact: Leave your mark on your team by owning and completing assigned projects iM A Mentee: Learn from teammates across departments & gain perspectives from a diversity of people iM A Connector: Meet & connect with as many interns and iManage employees as possible iM Inspired: Learn from our leadership team and ask questions during our lunch and learns iM Social: Enjoy intern events, and everything iManage has to offer this summer Being a Machine Learning Intern at iManage Means… You bring a passion for designing, developing, and deploying cutting-edge machine learning models and systems. You will be working across our teams in Data Science, Enterprise Data Engineering, etc., to turn our data insights into production-ready solutions to further advance our predictive automation capabilities.

Requirements

• Am working towards a Master’s Degree or PhD in Machine Learning, Data Science, Computer Science or related field
• Have proficiency in Python, R, Java, C++ or other relevant languages
• Have experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
• Have proficiency working with medium or large data sets and data processing tools (Hadoop, Spark, SQL)
• Have a strong knowledge of supervised and unsupervised learning, deep learning, natural language processing (NLP), reinforcement learning and other key machine learning technique
• Have strong communication and presentation skills with the ability to articulate complex concepts to diverse audiences

Responsibilities

• Designing, developing and deploying machine learning algorithms and deep learning applications and systems to address our business objectives
• Experimenting with different machine learning algorithms and techniques to improve model accuracy and performance, as well as documenting your findings and results
• Training, retraining, and monitoring machine learning systems and models as needed
• Constructing optimized data pipelines from our Enterprise Data Lake to feed machine learning models
• Solving complex problems with multi-layered data sets, and optimizing for performance and scalability
• Collaborating with Data Scientists, Data Engineers, Data Architects as well as other stakeholders on the creation and maintenance of production data models and data visualizations
• Identifying differences in data distribution that could potentially affect model performance in real-world applications

What This Job Offers

• Career Level: Intern