IEOR - Designing a More Efficient World

Machine Learning Intern at Infrrd, Inc

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Employer: Infrrd, Inc

Expires: 06/27/2020

You will work with the ML Development team. There are three levels of people in our team – those who do the work, those who can fix things when they are not working and the ones that can own outcomes. This job belongs in the first category – you will be working on exciting projects across multiple industries. Below is a list of the background we would like our ML interns to have:Currently pursuing a Master’s degree or PhD in data science, applied mathematics, computer science or otherwise research-based field.A mathematical, statistical and probability inclination and deep understanding of some AI concepts.Strong coding with Python, C++ or any proficient AI language of choice.Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, and deep learning.Strong understanding of probability and statistical models (generative and descriptive models).Academic/Industry experience in NLP and Machine Learning, or similar experience in developing language technologies for shipping products.Familiarity with NLP/ML tools and packages like Caffe, PyTorch, TensorFlow, Weka, scikit-learn, nltk, et al.Ability to run experiments scientifically and analyze results. As a Machine Learning Intern at Infrrd, your job responsibilities will be to: Break down and understand complex business problems and translate them to machine learning problems.Design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements.Collaborate with development teams to test and deploy machine learning models.Create metrics to continuously evaluate the performance of machine learning solutions.Keep up with new tools, algorithms, and techniques in machine learning and AI to implement them in the organization.LogisticsTime commitment: full-time, 40 hours per week.This is a paid internship and can also be for university credit if it meets your university’s guidelines.Work Visa sponsorship.If you are out state candidate, we will provide to and fro flights.