What are the responsibilities and job description for the Deep Learning Data Science Intern position at Spectral AI?
Position Summary
The Deep Learning Data Scientist Intern at Spectral AI will work closely with Deep Learning Data Scientists on topics related to research and development of traditional machine learning and deep learning algorithms that will impact future Spectral AI products focusing on medical imaging device data.
Essential Duties And Responsibilities
Required education and experience:
The physical demands described below are representative of those that must be met by an individual to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
10% of travel time expected for the position
Equal Employment Opportunity
Spectral AI, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.
The Deep Learning Data Scientist Intern at Spectral AI will work closely with Deep Learning Data Scientists on topics related to research and development of traditional machine learning and deep learning algorithms that will impact future Spectral AI products focusing on medical imaging device data.
Essential Duties And Responsibilities
- Work with cross-functional technical teams composed of researchers and software engineers.
- Data management and development of images and clinical datasets
- Perform data cleaning for machine learning and deep learning algorithms.
- Design datasets and machine learning algorithms that solve critical clinical questions.
- Research and develop novel machine learning and deep learning models for medical imaging data analysis, especially in the field of image classification and semantic segmentation.
- Design, evaluate and deploy developed algorithms.
- All other duties as assigned.
Required education and experience:
- Must have at least a bachelor’s degree and currently enrolled in a Master or Ph.D. program in in a Master’s or Ph.D. program in Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with a focus on machine learning, deep learning, and AI.
- Coursework in Machine Learning, Image Processing, Applied Mathematics, and/or Data Science, e.g., Reinforcement Learning, Machine Learning (ML), Deep Learning, Image Processing, etc.
- Excellent communication skills.
- Good understanding in machine learning and deep learning algorithms
- Proficiency in a relevant programming language such as Python and C
- Proficiency in at least one major machine/deep learning framework such as Scikit-Learn, Pytorch, Tensorflow, or Keras.
- Proficiency in at least one major image processing framework such as OpenCV is a plus.
- Good understanding of image classification, semantic segmentation, and object detection algorithms.
- Implementation of machine learning and deep learning algorithm in recent projects
The physical demands described below are representative of those that must be met by an individual to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift, up to 15 pounds at times.
10% of travel time expected for the position
Equal Employment Opportunity
Spectral AI, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.