Advanced degree in Computer Science, Engineering, or a relevant STEM field required; PhD preferred.
Strong programming skills in Python, C++, Tensorflow, PyTorch, CUDA, or similar languages.
Experience with deep learning tools related to 3D computer graphics and animation.
Proven work experience in machine learning, deep learning, and reinforcement learning.
Background in handling large datasets, particularly noisy data, with curiosity for complex problem-solving.
Relevant research experience with publications in recognized venues.
Familiarity with cloud environments and multi-machine setups.
Responsibilities
Apply AI techniques to tackle healthcare-related challenges.
Conduct biological simulations and process sensor data for analysis.
Monitor health and safety metrics using AI-driven tools.
Engage in multiple research and development projects funded by the National Institutes of Health.
Develop effective machine learning techniques from concept to prototype.
Collaborate effectively in a small team to address complex problems autonomously or with minimal supervision.
Innovate and contribute entrepreneurial ideas to real-world applications.
Benefits
On-site position located in downtown Cincinnati with vibrant city amenities.
Engagement in funded multi-year research projects with the National Institutes of Health.
Opportunity to work at the intersection of AI and healthcare innovation.
Full Job Description
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 Qualifications
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.
