QUARTER4 CAREERS

As we continuously shape the global gaming industry with the most advanced and predictive sports data, ever, we welcome those that want to bring the future to us, today. Are you interested in working with a progressive artificial intelligence company that embraces diversity and inclusivity and collaboration and knowledge sharing at all levels?

Have a look at our opportunities below. If there are none posted, please send your resume to careers@quarter4.io. We are always searching for individuals that embrace change and high potential growth.

Our AI team is in demand for new talents who specialize in deep learning, specifically RNN time series predictions. You will have access to multiple sports leagues’ data, e.g. NBA, NHL, NFL. You will be working closely with data, models, and your teammates, in order to bring Quarter4’s AI models to the next level.

Technology Stack

Python, Tensorflow, Docker, Git

Responsibilities

  • Design and develop secure, high-availability, scalable web applications
  • Promoting robust and maintainable code, clear documentation
  • Understanding and debugging large and complex codebases.
  • Presenting the architectural design of system components to project team members and other stakeholders in clear, simple terms.
  • A solution-focused commercial mindset towards building enterprise applications.
  • Experience using and working with projects stored in git repositories using git flow release methodologies.
  • Being passionate on new technologies, having creative mindset and willing to share knowledge

Daily

  • Improve and build supervised deep learning models for sport predictions, (primarily time series data).
  • Tune existing models and improve feature engineering.
  • Provide robust models ready for deployment.
  • Monitor model performance and provide recommendations for improvements.
  • Plan and execute new model features, improvements and updates.
  • Work with the infrastructure team to improve deployment process and infrastructure tooling such as model hosting environments.
  • Create tests to ensure AI microservices are performing properly.
  • Deliver high quality work on a tight schedule.
  • Work with other team members to complete assigned tasks.
  • Research and learn new technologies.
  • Acquire new skills through independent study.

Required Skills

  • Degree in Data Science, Computer Science, Mathematics or related field, master degree preferred
  • 2-4 years (0-2 years if has master degree) of experience as machine learning engineer/researcher or similar role,
  • Python programming fundamentals
  • Tensorflow programming fundamentals
  • Solid understanding on deep learning with a proficiency in RNN, tabular time series data
  • Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, Keras
  • Comprehension in major sports’ data, e.g. basketball, hockey, baseball is a huge plus
  • Be able to explain the difference between deep learning and other machine learning models like logistic regression or XBGoost (pros and cons).
  • Be able to describe the general pre-training data preparation preprocess.
  • Be able to explain gradient descent, gradient varnishing, and what technique to use to solve problems.
  • Be able to explain Recurrent Neural Network(RNN).
  • Be able to describe different model deployment processes.

To apply send your resume to careers@quarter4.io