Research Programmer Analyst - LTI - School of Computer Science

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.

The Language Technologies Institute (LTI) is seeking a Research Programmer/Analyst to join their team! Reporting to Professor Lorraine Levin, you will be responsible for:

• Using large language models (LLM) automatic speech recognition (ASR) and other natural language processing (NLP) techniques to automate the annotation of corpora of linguistic fieldwork, including morphological segmentation and interlinear glosses
• Creating novel combinations of LLM, NLP, and ASR to achieve performance that surpasses the state of the art in morphological segmentation and interlinear glossing
• Designing and conducting suites of experiments for determining which methods and models are most suitable for the task under varying circumstances such as the amount of data available for training
• Assisting in a human-in-the-loop process of corpus creation for three languages of Mexico (Mixtec, Totonac, and Nahuatl), resulting in archival-quality linguistic documentation
• Formulating hypothesis about best models to apply to the task
• Meeting with the Principal Investigator twice per week to discuss progress and plans
• Keeping detailed notes on weekly progress
• Keeping project resources organized in appropriate repositories
• Inventing new modelling techniques
• Carrying out experiments where various models are applied to data
•  Reporting results of experiments.
• Performing error analysis
• Writing articles for peer review
• Assisting with corpus creation and corpus manipulation.
• Other duties as assigned

You should demonstrate an ability to:

• Effectively organize and manage your time to meet deadlines
• Effectively collaborate with teammates
• Communicate effectively (orally and written)
• Demonstrate accountability for integrity and honesty in conducting resource and compliance with CMU and NSF rules
• Perform unit checking and error analysis
• Utilize a variety of techniques that are appropriate for the problem that is being solved

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can 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:

Education: Bachelor’s degree in computer science, information system or related field required ; Masters’s Degree preferred.

Required Experience :

• 1-3 years of prior research experience in ASP, NLP, and/or LLMs, specifically as applied to low-resource languages, morphological segmentation and interlinear glossing.
• Previous experience with peer reviewed research, formulation of hypothesis, design methodology, execution of experiments and reporting of results.

A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Requirements:

• Successful completion of a pre-employment background check

Additional Information:

• A remote work option may be available for candidates with residency in Boulder, CO. All approved remote work arrangements are subject to an approved remote work agreement (RWA) as part of any offer of employment.
• In accordance with the pay transparency legislation set forth by Colorado, the corresponding salary range for this position, if placed in Colorado ranges between $77,000 and $95,000.
• 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 the 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.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. 

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

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the 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!

Location

Job Function

Position Type

Full Time/Part time

Pay Basis

More Information: