Data Science Course Developer - LTI - School of Computer Science

Carnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. Our extraordinary institution has distinctive areas of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce versatile alumni and draw faculty and staff eager to be a part of the university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration.

The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding, processing, and generating human language in both written and spoken forms.

Our team is looking to hire a Data Science Course Developer. This position designs, develops, tests and maintains curriculum materials, software applications and systems programs.

Core Responsibilities

• Develops and maintains technical documentation and teaching materials pertaining to Data Science.
• Works on more diverse and complex programming assignments that require advanced knowledge
• Evaluates user requests to determine feasibility, cost and time requirements and system compatibility.
• Develops specifications based on user and system requirements.
• May guide or train lower level staff.
• Participates on departmental and cross functional project teams.

Flexibility, excellence, and passion are vital qualities within the School of Computer Science. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications

• Bachelor's Degree in Computer Science or a related field
• 3 to 5 years of operating systems administrative experience
• Experience in designing coursework and/or teaching is required
• Experience with Python
• Experience with Large Language Models (LLM) (prompt development, pretraining, finetuning, and RLHF)
• Experience in software development
• Model Deployment on Cloud platforms such as AWS
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Additional Information

• Successful background check investigation required
• Sponsorship: 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.
• Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon."

Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees.

Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance. 

Other perks include a free Pittsburgh Regional Transit bus pass, our Family Concierge Team to help navigate childcare needs, fitness center access, and so much more!

For a comprehensive overview of the benefits that may be awaiting you, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

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