Scientific Software Engineer, AI & Data Science Institute
Inside Higher Ed
Baltimore (MD)
Hybrid
USD 80,000 - 100,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Comprehensive benefits package
Collaborative research environment
Opportunities for professional development
Job summary
A renowned educational institution is seeking a Scientific Software Engineer to contribute to the Data Science and AI Institute. The role involves developing advanced software solutions for cutting-edge research projects, including AI/ML applications and data analysis. Ideal candidates will hold a Master’s or Ph.D. in a quantitative field, along with significant industry experience in software development and data science. This position offers a hybrid work environment and opportunities for professional growth in a collaborative setting.
Qualifications
Must have strong scientific computing and not less than three years of relevant experience.
Candidates with a Ph.D. are preferred to bring in-depth knowledge and expertise.
Ability to articulate business/application questions into software solutions.
Responsibilities
Develop AI/ML solutions using latest industry libraries.
Create software pipelines for processing real-time data workflows.
Engage deeply in selected projects, with potential co-authorship on publications.
Skills
Software Development
Data Science
Machine Learning
Scientific Computing
Effective Communication
Education
Master’s in a Quantitative Discipline
Ph.D. in a Quantitative Discipline
Tools
DNN libraries
Cloud Computing
Job description
A renowned educational institution is seeking a Scientific Software Engineer to contribute to the Data Science and AI Institute. The role involves developing advanced software solutions for cutting-edge research projects, including AI/ML applications and data analysis. Ideal candidates will hold a Master’s or Ph.D. in a quantitative field, along with significant industry experience in software development and data science. This position offers a hybrid work environment and opportunities for professional growth in a collaborative setting.