Refuel Operating Company, LLC is hiring a
Machine Learning Engineer, Remote - United States

Logo of Refuel Operating Company, LLC

Machine Learning Engineer closed

🏢 Refuel Operating Company, LLC

💵 ~$75k-$111k
📍United States

Summary

Refuel.ai is a startup that aims to solve the challenges in developing machine learning applications for unstructured data. They are looking for a Machine Learning Engineer with experience in building ML applications for unstructured data, familiarity with Python and deep learning frameworks like PyTorch and TensorFlow, strong communication skills, and a curiosity about startups.

Requirements

  • Experience building ML applications for unstructured data (image, video, text, audio streams) including data collection, model development and deployment
  • Familiarity with Python programming language

Responsibilities

  • Develop the core machine learning algorithms powering our platform in domains such as representation learning, clustering and outlier detection in high dimensional spaces, improving label quality in real-world datasets, and active learning
  • Keep up with state-of-the-art research in machine learning for content understanding. Apply state of the art deep learning models developed internally and from the research community to solve problems for our customers
  • Work closely with the rest of our engineering and design teams to identify feature and scalability improvements to our product
  • Help define and evolve our engineering stack as we scale the product
  • Help us hire a world-class team and mentor new team members

Preferred Qualifications

  • Hands-on experience with at least one of the popular deep learning frameworks like PyTorch and TensorFlow is a big plus
  • Strong communication skills and enjoy working in a collaborative environment
  • A curiosity about the early startup and company building journey

Benefits

  • We will offer a competitive salary and meaningful equity in the company
  • You will have the opportunity to create a massive impact on the product and company as a member of our early team
This job is filled or no longer available

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