Data Engineer (GCP/AWS, Machine Learning)

Data Engineer (GCP/AWS, Machine Learning)

  • Location

    Boston, Massachusetts

  • Sector:

    AI & Machine Learning Research

  • Job type:


  • Salary:


  • Contact:

    Molly Boca

  • Contact email:


  • Job ref:


  • Published:

    over 1 year ago

  • Expiry date:


  • Consultant:


Data Engineer (GCP/AWS, Building Data Pipelines, Machine Learning)

We are looking for a Data Engineer (GCP/AWS, Building Data Pipelines, Machine Learning) to join our world-class online educational platform, all powered by state-of-the-art services, to enable more effective teaching and personalized learning at scale.

We are searching for a Data Engineer whose end goal is to explore an environment that supports and inspires to always be better by pushing the boundaries of technology to create seeds of learning for students. This company uses leading proprietary technology, search algorithms, and innovative Machine Learning to serve its worldwide consumer-base.

Based in the Denver area, as a Data Engineer, you will build robust Python libraries for the development of Machine Learning as well as experience with Cloud Computing (Amazon AWS, Google GCP). Furthermore, a team that offers a unique environment for extremely skilled and motivated thinkers so you will be using technology to enhance students' educational experiences.

Data Engineer (GCP/AWS, Building Data Pipelines, Machine Learning):

  • An Educational company working with state-of-the-art technology
  • A culture of diversity, creativity, and inclusivity - all working together under one shared vision.
  • An environment which truly looks after talent and cultivates success for employees and the future of students
  • Competitive salaries, equity and benefits packages

Key Skills: Data Engineer, Research Data Engineer, Software Engineer, General Machine Learning, Machine Learning, Education, Data Pipelines, Python, Regression, Optimization, Recommendation Systems, Deep Learning, Reinforcement learning, NLP, Computer Vision, Experimental Design, R, Math, etc.