Scientific Software Engineer, AI & Data Science Institute

Inside Higher Ed

Baltimore (MD)

Hybrid

USD 80,000 - 100,000

Full time

14 days+

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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.
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