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From Home Computational Imaging Jobs (NOW HIRING)

... imaging technologies that power hundreds of millions of iPhones, iPads, and Macs around the world. From capturing cinematic video to enabling breakthrough computational photography, we're shaping how ...

... home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of ... imaging mass spec (e.g., MALDI) * 1+ year of experience with single-cell proteomics and/or ...

... imaging technologies that power hundreds of millions of iPhones, iPads, and Macs around the world. From capturing cinematic video to enabling breakthrough computational photography, we're shaping how ...

You'll design and develop groundbreaking ideas for everything involved in our camera systems, from ... Published research in imaging, computational photography, or computer vision. Experience with ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

... home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of ... imaging mass spec (e.g., MALDI) * 1+ year of experience with single-cell proteomics and/or ...

$106K - $159K/yr

We're doing it with energy, curiosity and sheer dedication, always learning from unique ... Exposure to machine learning or deep learning for omics or imaging data. Familiarity with MS and ...

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How much do from home computational imaging jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for from home computational imaging in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

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Infographic showing various From Home Computational Imaging job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Group Leader, Multimodal Sensor Analytics

Oak Ridge National Laboratory

Knoxville, TN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 120 rated laboratories


Job description

Requisition Id 16263 

Overview:  

We are seeking a group leader who will focus on AI/ML methods/application, image/signal processing, and sensor systems.  This position resides in the Multimodal Sensor Analytics (MSA) group in the Energy Sensing Analytics and Communications (ESAC) section, Electrical and Energy Infrastructures Division (EEID), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL).  

The MSA Group Leader will be responsible for leading research in AI/ML for sensor analytics systems, work with the section head to develop strategies for maintaining and growing technical application spaces and leading a group of 8-12 researchers within MSA. Special emphasis and focus is towards the research, development, and demonstration of advanced image/signal processing, machine learning and artificial intelligence techniques applied toward AI security, biometrics, computational imaging, and energy infrastructures.

Major Duties/Responsibilities: 

  • Initiate, lead and perform independent R&D on an ongoing basis.
  • Develop and grow programs in image/signal processing, applied machine learning, and artificial intelligence for applications for application areas including AI security, computational imaging, biometrics, nuclear nonproliferation, and energy infrastructures.
  • Develop a vision and implement a cohesive group research strategy to ensure the success of new and ongoing research projects to position the group for future success.
  • Assist staff in setting performance goals consistent with the group’s strategy and members’ long-term career goals. Provide feedback to address performance issues in a timely manner.
  • Provide relevant input to assist the ESAC Section Head with staff development while providing direct and impactful guidance to staff on regular basis.
  • Attract a quality, diverse pool of top candidates and hire staff members who are committed to world-class R&D and aspire to be the best in their field.
  • Lead by example by exercising the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research.
  • Serve as immediate supervisor for staff members in group.
  • Advance the reputation of the group members and standing of the group through establishing collaborations, Professional Society leadership and involvement, and organization of technical events.
  • Support group members by consistently reviewing technical products such as proposals, publications, and artifacts to ensure high quality and consistency with ORNL standards.
  • Hold regular scientific/technical group meetings and be visible in the labs and workplace.
  • Assume front-line responsibility for safety in the group’s laboratory; mentor and empower the Laboratory Space Managers to create a strong safety culture.
  • Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

  • PhD in electrical/computer engineering, computer science, or a related discipline
  • A minimum of 8 years of relevant experience in image/signal processing and machine learning
  • Demonstrated experience and success in leading R&D teams

Preferred Qualifications:

  • Excellent written and oral communication skills
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Special Requirements:

  • Visa sponsorship is not available for this position
  • This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.  In addition, due the SCI, you may also be subject to random polygraph testing. 

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.


ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


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