Description:

We are seeking a highly skilled Generative AI Engineer for a full-time, remote position.
This critical role involves designing, prototyping, and testing advanced multimodal foundation models to tackle intricate imaging challenges.
The Engineer will focus on creating algorithms to enhance image quality.
The role includes establishing metrics for algorithm performance assessment.
The Engineer will develop optimization techniques for model fine-tuning.
This role is vital in shaping the core of HOPPR's AI-driven solutions in medical imaging.

Requirements:

Proficiency in Python and deep learning frameworks (e.g., PyTorch, Tensorflow) is required.
A minimum of 8 years of experience in AI model development is necessary.
Demonstrated experience in generative models and unsupervised learning is essential.
Expertise in multimodal data engineering, processing, and analysis is required.
An in-depth understanding of medical imaging and the healthcare industry is preferred, but not required.
Exceptional problem-solving and analytical abilities are necessary.
Strong communication skills and a collaborative mindset are essential.
A Master's or PhD in Computer Science, Engineering, or related fields is required.
Knowledge of privacy-compliant trust architectures and HIPAA compliance is advantageous.

A key role in a fast-growing startup with immense potential is offered.
An innovative, collaborative, and supportive work environment is provided.
A competitive salary and benefits package is included.
There is a unique chance to grow with the company and potentially transition into a more strategic financial role in the future.