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Machine Learning Intern

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.

Logistics
  • Time 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.