Internship Opportunity: Kobold Completions

“If you are interested in the application of machine learning to time-series problems in the energy industry, this is the right opportunity for you. Be a part of the team of research and machine learning scientists and get mentored by some of the best minds in AI.”

-- Shazan Jabbar, Lead Machine Learning Scientist & Mara Cairo, Product Owner - Advanced Technology


About the Role

This is a paid internship that will be undertaken over a nine-month period with the potential to be hired by our client afterwards (note: at the discretion of the client). The intern will be reporting to an Amii Lead Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities.

About our Client

Kobold Completions is a global provider of advanced well completion technologies and services for the Oil and Gas industry. We specialize in coil-conveyed technology for well completions and remediation. Kobold’s management team is backed by decades of knowledge and experience in the international Oil and Gas Industry. With decades of R&D behind them, the team has authored and been named on more than 182 patents.

About the Project

The Machine Learning Intern position is part of the Kobold Real-time Information Gathering System (RIGS) project. This project involves collecting and analyzing well completion data from several different on-site devices and sensors. In order to collect and analyze data in this often-disconnected remote environment we will be deploying Edge Computers to do the initial decoding and aligning timestamps for both real-time and memory devices. The Edge Computers will also handle the streaming of data (when available) to cloud resources. The Machine Learning Intern will be specifically involved in developing algorithms to correlate data from very accurate down-hole memory tools with the real-time surface sensors. The goal of the Machine Learning portion of the project is to provide the onsite tool supervisors with more certainty of down-hole events and to provide a foundation for additional onsite real-time Machine Learning opportunities.

Required Skills / Expertise

We’re looking for a talented and enthusiastic individual with solid knowledge of machine learning and experience working with time series data preferably in the oil and gas domain.

Key Responsibilities:

  • Clean and curate historical datasets
  • Perform exploratory data analysis
  • Build, train, and evaluate ML models
  • Develop Data and ML workflows
  • Undertake applied research on ML techniques to address the limitations in existing models
  • Collaborate with project team and stakeholders to develop MVP

Required Qualifications:

  • Completion of a Computing Science or ML graduate program, MSc. or Ph.D
  • Research or project experience with time series data
  • Solid understanding and experience in applications of deep learning techniques such as sequence models (RNN, Transformers, etc.) or multi task learning
  • Experience/familiarity with software engineering best practices
  • Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, Keras, Tensorflow, Pandas, Jupyter notebooks)
  • A positive attitude towards learning and understanding a new applied domain
  • Must be legally eligible to work in Canada

Preferred Qualifications:

  • Familiarity with the oil and gas industry
  • Publication record in peer-reviewed academic conferences or relevant journals in machine learning
  • Familiarity with time series anomaly detection methods like Variational Autoencoders (VAEs)

Non-Technical Requirements:

  • Desire to take ownership of a problem and demonstrated leadership skills
  • Interdisciplinary team player enthusiastic about working together to achieve excellence
  • Capable of critical and independent thought
  • Able to communicate technical concepts clearly and advise on the application of machine intelligence
  • Intellectual curiosity and the desire to learn new things, techniques, and technologies

Why You Should Apply

Besides gaining industry experience, additional perks include:

  • Work under the mentorship of an Amii Lead Scientist for the duration of the project
  • Participate in professional development activities
  • Gain access to the Amii community and events
  • Build your professional network
  • The opportunity for a permanent machine learning role at the client’s organization at the end of the term (at the client’s discretion)

How to Apply

If this sounds like the opportunity you've been waiting for, don’t wait to apply! Please send your cover letter and resume through the Indeed listing by April 22, 2022.

Preference for applicants from Calgary, Alberta. Applicants must be legally eligible to work in Canada at the time of application.

Amii is proud to be an equal opportunity employer. We are committed to creating a diverse, inclusive and excellent workforce.

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