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Evening Computer Vision Deep Learning Engineer Jobs in Hazleton, PA

Adecco

CNC Programmer/Engineer

Ashland, PA

$24.25 - $33/hr

... Vision, Basic Life, Voluntary Life AD&D, Short Term Disability, Long Term Disability, Accident ... TOOLS AND EQUIPMENT Telephone, personal computer (including word processing and other specialized ...

Adecco

Project Engineer

Ashland, PA

PROJECT ENGINEER Ashland, PA $75k-$95k Benefits - Medical, HRA, Dental, Vision, Basic Life ... Ability to operate a personal computer and secure information from established data processing ...

PFNonwovens LLC

Quality Systems Engineer

Hazleton, PA · On-site

... · Primary Vision System Leader for troubleshooting issues and providing guidance to team ... Must be able to walk, talk, sit/stand, hear, reach, use computer, climb stairs, bend and twist ...

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All JobsEvening Computer Vision Deep Learning Engineer JobsEvening Computer Vision Deep Learning Engineer Jobs in Hazleton, PA

Evening Computer Vision Deep Learning Engineer information

See Hazleton, PA salary details

$48.1K

$120.4K

$136.3K

How much do evening computer vision deep learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for evening computer vision deep learning engineer in Hazleton, PA is $120,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $130,300.00 per year, depending on experience, location, and employer.

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

Evening Computer Vision Deep Learning Engineer jobs near you
Engineering, Computer Science, and Information Technology - Part-Time Faculty Positions

Engineering, Computer Science, and Information Technology - Part-Time Faculty Positions

Penn State University

Hazleton, PA • On-site

Part-time

Re-posted 22 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

203rd of 555 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
Penn State Hazleton is seeking qualified part-time faculty to teach undergraduate courses in Engineering, Computer Science, and Information Technology.
Courses will be taught in person on the Penn State Hazleton campus.
Requirements and Qualifications
  • A minimum of a Master's degree in the relevant discipline (or closely related field) is required
  • Preference will be given to candidates with experience teaching at the college level

Teaching assignments may include day or evening times and various methods of course delivery. Most classes will be in-person, with occasional opportunities for hybrid or online teaching.
Review of applications will begin immediately and continue until positions are filled. Applicants should submit the following materials online through our career site: cover letter, curriculum vitae, and contact information for three professional references.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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