Multimodal ML & NLP Research Associate

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 40,000 - 70,000; Full time

Benefits offered by this job

Bus pass

Tuition benefits

Fitness center access

Retirement plan

Job summary

Carnegie Mellon University’s Language Technologies Institute seeks a Research Associate to advance multimodal fusion research. The role involves designing experiments, analyzing results, and contributing to publications within a collaborative academic team.

Responsibilities include running experiments on multimodal data, reporting progress, and presenting findings to project sponsors. A strong research background and communication skills are essential.

Qualifications

• Bachelor’s degree required.
• 1-3 years of research experience required.
• Strong communication, analytical and problem‑solving skills.
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Responsibilities

• Uses a variety of software packages to input, manipulate, collect and record results or observations.
• Performs research experiments following experimental protocol and procedures.
• Researches and documents information by compiling and maintaining accurate and detailed records.
• Summarizes statistical information for analysis, examination or presentation; writes technical reports.
• May build and validate quantitative models.
• Identifies problems and obstacles to progress; develops strategies to solve problems.
• May program software in support of job functions.
• Attends project meetings.
• Performs related duties as assigned.

Skills

Strong communication

Analytical skills

Problem solving

Programming (general)

Education

Bachelor’s degree

Tools

Programming (general)

Job description

Carnegie Mellon University’s Language Technologies Institute seeks a Research Associate to advance multimodal fusion research. The role involves designing experiments, analyzing results, and contributing to publications within a collaborative academic team.

Responsibilities include running experiments on multimodal data, reporting progress, and presenting findings to project sponsors. A strong research background and communication skills are essential.