HOPPR is seeking a highly skilled Senior 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 in the medical field. The Engineer will focus on creating algorithms to enhance image quality, establishing metrics for algorithm performance assessment, and developing optimization techniques for model fine-tuning.
Key responsibilities include:
- Designing and developing advanced multimodal foundation models
- Creating algorithms for image quality enhancement
- Establishing metrics for algorithm performance assessment
- Developing optimization techniques for model fine-tuning
Qualifications:
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, Tensorflow)
- Minimum of 8 years of experience in AI model development
- Demonstrated experience in generative models and unsupervised learning
- Expertise in multimodal data engineering, processing and analysis
- In-depth understanding of medical imaging and healthcare industry (preferred, but not required)
- Exceptional problem-solving and analytical abilities
- Strong communication skills and a collaborative mindset
- Master's or PhD in Computer Science, Engineering, or related fields
- Knowledge of privacy-compliant trust architectures and HIPAA compliance (advantageous)
HOPPR offers:
- A key role in a fast-growing startup with immense potential
- An innovative, collaborative, and supportive work environment
- Competitive salary and benefits package
- Opportunity for growth and potential transition into more strategic roles
This position is open exclusively to US citizens and permanent residents. HOPPR is an equal opportunity employer committed to creating a diverse work environment.