Temporary Assistant Engineer

at  Carnegie Mellon University

Position Summary:
As an engineer on our team, you will build data science capabilities using leading-edge technologies for important and challenging government problems and needs.

Requirements:

• BS in Computer Science, Statistics, Mathematics or equivalent with eight (8) years of experience; MS in Computer Science, Statistics, Mathematics or equivalent with five (5) years of experience; PhD in Computer Science, Statistics, Mathematics or equivalent with two (2) years of experience.
• Able to work during the summer semester.
• Able to come on-site to the SEI Pittsburgh office.
• Eligibility to work in the United States without visa sponsorship.
• Candidates will be subject to a background check.
• Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.

Desired Experience:

• Technical Teamwork: You have experience participating on teams for a variety of data science, machine learning and software development projects. You have experience working in collaborative coding environments, including open-source development projects.

Duties:

• Building Data Science Models and Systems: You will work with data science frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with date pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.
• Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms.

Knowledge, Skills and Abilities:

• Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area.
• Dedication: You can meet deadlines while multi-tasking–sometimes under pressure and with shifting priorities.
• Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with researchers at Carnegie Mellon University and other universities and organizations. You quickly learn new procedures, techniques, and approaches.
• Knowledge and Learning: You possess broad technical experience and interest in computer science and applied technology such as human-computer interaction, data analytics and machine learning, advanced computing, autonomy, and adaptive systems.

Location
Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff – Fixed Term (Fixed Term)
Full Time/Part time
Full time
Pay Basis
Hourly

More Information:

• Please visit “

Why Carnegie Mellon

” to learn more about becoming part of an institution inspiring innovations that change the world.

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• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

• Statement of Assurance

• Building Data Science Models and Systems: You will work with data science frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with date pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.
• Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms