The research scientist will be responsible for the design and implementation of the neural ... This position may be filled as part-time (# hours) or full-time (37.5 hours per week), depending on ...
The research scientist will be responsible for the design and implementation of the neural ... This position may be filled as part-time (# hours) or full-time (37.5 hours per week), depending on ...
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The research scientist will be responsible for the design and implementation of the neural ... This position may be filled as part-time (# hours) or full-time (37.5 hours per week), depending on ...
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Pittsburgh, PA · On-site
The research scientist will be responsible for the design and implementation of the neural ... This position may be filled as part-time (# hours) or full-time (37.5 hours per week), depending on ...
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The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD), and ... as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
New
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New
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New
The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD), and ... as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
New
Full Time Neural Engineer information
See salary details
$59.5K - $72.5K
14% of jobs
$80.3K is the 25th percentile. Wages below this are outliers.
$72.5K - $85.6K
19% of jobs
$85.6K - $98.6K
12% of jobs
The median wage is $103.1K / yr.
$98.6K - $111.7K
17% of jobs
$111.7K - $124.7K
12% of jobs
$127K is the 75th percentile. Wages above this are outliers.
$124.7K - $137.8K
14% of jobs
$137.8K - $150.8K
7% of jobs
$150.8K - $163.9K
3% of jobs
$163.9K - $176.9K
0% of jobs
$176.9K - $190K
1% of jobs
$190K - $203K
2% of jobs
$59.5K
$111.6K
$203K
How much do full time neural engineer jobs pay per year?
What is the difference between Full Time Neural Engineer vs Machine Learning Engineer?
| Aspect | Full Time Neural Engineer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Neuroscience, Computer Science, or related fields; experience with neural data | Bachelor's or Master's in Computer Science, Data Science, or related fields; strong programming skills |
| Work Environment | Research labs, healthcare, biotech companies focusing on neural data and brain-computer interfaces | Tech companies, startups, research institutions working on algorithms and data modeling |
| Employer & Industry Usage | Neuroscience, biotech, healthcare | Technology, finance, e-commerce, research |
Full Time Neural Engineers focus on developing and analyzing neural data, often working in healthcare and biotech settings. Machine Learning Engineers design algorithms for data-driven applications across various industries. While both roles require programming skills, Neural Engineers specialize in neural systems, whereas Machine Learning Engineers work broadly on AI models.
Research Scientist - College of Engineering - Electrical and Computer Engineering
Carnegie Mellon UniversityPittsburgh, PA
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 4 days ago
Carnegie Mellon University rating
8.6
Based on 24 frontline employees who took The Breakroom Quiz
50th of 532 rated colleges and universities
Job description
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 Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront of the technologies that have changed the world we live in. Our interdisciplinary approach to education and research allows faculty and student across the university and beyond to collaborate on problems that have a significant impact on the world around us.
Carnegie Mellon University's department of Electrical and Computer Engineering is looking for a talented research scientist to work on an innovative project, involving the design, microfabrication and benchtop characterization of neural interfaces for multimodal recording and stimulation of the central and peripheral nervous system. The research scientist will be responsible for the design and implementation of the neural interfaces, design of the experiments and performing in vivo electrophysiology experiments on rodents.
This position may be filled as part-time (# hours) or full-time (37.5 hours per week), depending on candidate availability.
Responsibilities:
- Propose and lead independent research goals within scope of projects.
- Contributor in developing and documenting research findings and collaborator in writing scientific papers
- Acts as team leader, providing project management direction
- Lead research efforts within main goals of project and help coordinate interactions with other team members and universities.
- Writing documentation, technical papers, progress reports and participating in meetings/committees.
- Other duties as assigned
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.
Required Skills:
- Experience with multi-modal neural interface design
- Experience with ultrasound imaging system design and operation
- Experience with electrophysiology instrumentation
- Experience with electrical neural recording and stimulation
Desired Skills:
- Microfabrication
- Finite element Method (FEM) simulations (piezoelectrics and acoustics)
- Discrete electronic design (Analog and digital design using COTS, schematic and layout design, microcontroller programming, PCB prototyping)
Qualifications:
- Bachelor's degree
- Work independently and cooperatively with others and follow detailed protocols accurately
- A combination of education and relevant 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, PAJob Function
Engineering, Research and Project ScientistsPosition Type
Staff - Fixed Term (Fixed Term)Full Time/Part time
Full timePay Basis
SalaryMore Information:
Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
Click here to view a listing of employee benefits
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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