Machine Learning Summer Internship

Full/Part-time: Full-time

Location: Remote (US or Japan preferred)

Reports to: CEO

Position Summary and Purpose:

Responsible for planning, training, testing and implementing machine learning models for software products associated with the IndustrialML platform. Interfaces with co-workers and customer representatives at factories to acquire and understand the nuances of categorical, video, and quantitative data. Gathers and augments collected data for the purpose of training models, and validates, tests and updates models regularly using any available machine learning and data science tools.

If you are a self-starting individual who is excited to bring machine learning expertise to factories, loves researching better ways to represent data and wants to help an early-stage team solve challenging problems, reply and let us know!

Duties and Responsibilities:

  • Interface with IndustrialML team and customers to understand challenges and key metrics to optimize for a steel tube factory
  • Recommend and implement data collection methods as necessary
  • Clean and augment collected data for training purposes
  • Identify transfer learning opportunities and applicable training datasets
  • Design and develop machine learning and deep learning systems
  • Run machine learning tests and experiments, maintain and improve developed models

Desired Experience:

  • 2 years of experience defining, building, and deploying machine learning models
  • Applications accepted from undergraduate, graduate, or recently graduated!
  • Experience working in a team environment with a customer-deployed end product

Knowledge, Skills, Abilities, Characteristics, etc.:

  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Familiarity with statistical and data mining techniques (GLM/regression, random forest, boosting, trees, etc.)
  • Ability to write and debug code using statistical languages (Python, R, Matlab, etc.)
  • Deep knowledge of math, probability, statistics and algorithms
  • Well organized, disciplined and self-motivated, capable of balancing multiple priorities
  • Willingness and ability to make design decisions based on limited information
  • Ability to effectively communicate with internal company personnel, vendors and customers with equal effectiveness, professionalism and positivity
  • Flexibility in handling responsibilities outside your comfort zone

Apply Here