Research Associate - School of Computer Science - MLD

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 Machine Learning Department (MLD) at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs, fostering a collaborative environment that bridges theoretical research and practical applications. Faculty and students frequently collaborate with industry and other academic disciplines to push the boundaries of what is possible with machine learning.

MLD is seeking a Research Associate to contribute to neuroscience and AI research aimed at reverse-engineering animal brain function to inform the design of intelligent agents. This role involves analyzing neural data, developing machine learning models, and running experiments to uncover how biological neural circuits solve sensory-motor tasks.

Core Responsibilities

• Analyze neural datasets using Python and standard scientific libraries (e.g., NumPy, SciPy, Matplotlib).
• Develop and evaluate machine learning models to predict neural activity and behavior.
• Assist with preprocessing, organizing, and maintaining large-scale neuroscience data.
• Conduct literature reviews and summarize relevant computational neuroscience or AI papers.
• Communicate results through figures, presentations, and written summaries

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:

• Bachelor’s Degree required. Master’s Degree preferred.
• Solid understanding of machine learning fundamentals.
• Strong communication, problem-solving and reasoning skills.
• Strong programming skills in Python.
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Requirements :

• Successful background check

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

Pittsburgh, PA

Job Function

Researchers

Position Type

Staff – Fixed Term (Fixed Term)

Full Time/Part time

Part time

Pay Basis

Hourly

More Information: