AI RESEARCH SCIENTIST/ENGINEER

Reposted 24 Days Ago
Covington, KY, USA
In-Office
Mid level
Fashion • Fitness • Software • Wearables
The Role
We seek an AI Research Scientist/Engineer to apply AI techniques in healthcare, focusing on biological simulations and data analysis for NIH-funded projects.
Summary Generated by Built In

The Company

Gen Nine develops state-of-the-art, hardware and software solutions for healthcare applications. Working at Gen Nine means applying your passion and intellect to help solve some very challenging technical problems and thereby create some of the most advanced products in the world. If you’re interested in working with small teams of highly talented and motivated engineers seeking to make a difference in the world, Gen Nine may be the place for you.


Location

This position is based in the vibrant Cincinnati area. Our offices overlook the spectacular Cincinnati skyline and are within walking distance to downtown shopping, shopping malls, restaurants, entertainment, waterfront parks, major league sporting venues and are less than a 20-minute drive to CVG, an international airport.


Position

We are looking for a creative expert who is interested in applying AI techniques to solve problems in healthcare. These include biological simulations, sensor data processing and analysis, and health and safety monitoring as part of multiple full-time, multi-year research and development projects funded by the National Institutes of Health. This is a paid, full-time, onsite position.


Skills, Experience and Q
ualifications

  • The ideal candidate will be a passionate engineer/scientist who is comfortable in both the hardware and software worlds with an advanced degree in Computer Science, Engineering, or another STEM field.
  • Excellent programming skills in Python, C++, Tensorflow, PyTorch, CUDA and/or similar languages.
  • Broad familiarity with Deep Learning tools and processes used in 3D Computer Graphics, and Animation.
  • Work experience with machine learning, deep learning, and reinforcement learning.
  • A background in machine learning techniques with large amounts of noisy data, and curiosity in applying it to complex problems.
  • Relevant research experience and publications.
  • Be capable of developing effective techniques and infrastructure, from the initial idea to prototypes and products.
  • Have experience with cloud environments and multi-machine setups.
  • Enthusiasm and the ability to participate in a small-team environment in order to solve interesting and complex problems, with or without supervision.
  • Ability to think entrepreneurially and innovate in a real-world environment.
  • A PhD. Is preferred, but will consider a M.S. degree in Computer Science, Computational Neuroscience, Physics, Mathematics, Electrical/Computer Engineering, or a related field with appropriate experience.

Skills Required

  • Advanced degree in Computer Science, Engineering, or STEM field.
  • Excellent programming skills in Python, C++, Tensorflow, PyTorch, and CUDA.
  • Familiarity with Deep Learning tools and processes.
  • Experience in machine learning and deep learning.
  • Background in machine learning with noisy data.
  • Research experience and publications.
  • Ability to develop techniques from ideas to products.
  • Experience with cloud environments and multi-machine setups.
  • Ability to work in a small-team environment.
  • Ability to innovate in a real-world environment.
  • PhD preferred, MS considered with experience.
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The Company
Covington,, Kentucky
3 Employees
Year Founded: 2005

What We Do

Gen Nine is developing state-of-the-art, wearable hardware and software solutions for the home care setting. We provide the tools that help families care for the ones they love. We are a small group of researchers, engineers, designers, inventors, and hackers. Our research is principally funded through grants from the National Institutes of Health (NIH) and the National Institute on Aging (NIA). We collaborate with Stanford University School of Medicine in developing and testing our designs.

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