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) 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.
We are seeking a Research Associate is to perform research in machine learning as a member of Barnabas Poczos's group in the MLD at CMU.
Core Responsibilities:
- Design, text and implement ML algorithms
- Read, summarize and present relevant research papers
- Contribute to writing research publications based on project outcomes
- Performs other duties as assigned.
Flexibility and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who can optimally 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.
Qualifications:
- At least one year of undergraduate education in Computer Science or a related field
- Strong experience in Python
- Good understanding of machine learning fundamentals
- Genuine curiosity and enthusiasm for applying ML to scientific challenges
- A combination of education and meaningful experience from which comparable knowledge is proven may be considered.
Requirements:
Successful background check investigation
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
Full time
Pay Basis
Hourly
More Information:
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Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
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Click here to view a listing of employee benefits
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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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Carnegie Mellon University founder Andrew Carnegie said: "My heart is in the work."
No statement better captures the passion and drive of our people to make a real difference.
At Carnegie Mellon, we're not afraid of the work.
Our educational environment creates problem solvers, drivers of innovation and pioneers in technology and the arts.
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