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Research Associate - School of Computer Science - S3D (Kastner)

Job Details



Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

The Software and Societal Systems Department is searching for a Research Associate to join the team. This is an excellent opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by supporting research on understanding characteristics of machine learning applications released as open-source application. In addition, you will explore source code and documentation, and analyze characteristics following a rubric developed by the research team, and contribute to the writing of a research paper on the subject.

Your core responsibilities will include:
  • Analysis of open-source projects.
  • Analysis of machine-learning code and machine learning integration in software products.
  • Measurement of custom software engineering metrics.
  • Qualitative analysis of developer practices.
Inclusion and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who can effectively interact with a varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work.

This is a great opportunity for someone to work in a creative, dedicated, driven team, in a collaborative environment committed to technical innovation, inclusion, and work-life balance.

Qualifications:
  • Bachelor's Degree
  • Programming proficiency in popular programming languages (Java, Python, Javascript).
  • Understanding of software engineering concerns with regard to deploying machine learning systems.
  • Familiarity with open-source development and community practices.
  • Experience in qualitative empirical research methods.
  • Teamwork skills.
  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Requirements:
  • Successful background check
Are you interested in this exciting opportunity?! Apply today!

CMU’s COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Staff and faculty must comply with all applicable COVID-19 mitigation requirements. Please see Minimum Requirements to Return to Campus for details regarding the university’s current COVID-19 mitigation requirements.

Location

Pittsburgh, PA

Job Function

Researchers

Position Type

Staff – Fixed Term (Fixed Term)

Full Time/Part time

Part 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.

  • Click here to view a listing of employee benefits

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

  • Statement of Assurance

Company

Carnegie Mellon Univesity

Carnegie Mellon University challenges the curious and passionate to imagine and deliver work that matters.

A private, global research university, Carnegie Mellon stands among the world's most renowned educational institutions, and sets its own course. Start the journey here.

Over the past 10 years, more than 400 startups linked to CMU have raised more than $7 billion in follow-on funding. Those investment numbers are especially high because of the sheer size of Pittsburgh’s growing autonomous vehicles cluster – including Uber, Aurora, Waymo and Motional – all of which are here because of their strong ties to CMU.

With cutting-edge brain science, path-breaking performances, innovative startups, driverless cars, big data, big ambitions, Nobel and Turing prizes, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we create it. 

Many seek Pittsburgh for being a hot spot for entrepreneurship and a model for future cities. Others come for the city's burgeoning food scene.

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