Refuel Operating Company, LLC is hiring a
Machine Learning Engineer, Remote - United States
![Logo of Refuel Operating Company, LLC](https://cdn.jobscollider.com/logo/refuel-operating-company-llc-0b97.webp)
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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