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Evening Computer Vision Deep Learning Engineer Jobs in Hazleton, PA

... • 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 ...

Natural Gas Engineer - #2702

Wilkes Barre, PA · Hybrid

$79K - $105K/yr

Our excellent salary and benefits package includes medical, dental, vision, life insurance, short ... Prepare computer-generated natural gas pipeline and mechanical working drawings * Generate bill of ...

Natural Gas Engineer - #2702

Wilkes Barre, PA · Hybrid

$79K - $105K/yr

Our excellent salary and benefits package includes medical, dental, vision, life insurance, short ... Prepare computer-generated natural gas pipeline and mechanical working drawings * Generate bill of ...

The company's products help engineers solve their unique design challenges in automotive ... Night and Evening shifts receive a 10% shift differential! Overtime is available, not mandatory. We ...

The company's products help engineers solve their unique design challenges in automotive ... Night and Evening shifts receive a 10% shift differential! Overtime is available, not mandatory. We ...

... computer skills required. Travel and some evening hours necessary. Valid driver's license and use ... Comprehensive medical, dental, and vision coverage, plus access to healthcare advocacy support.

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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.

Quality Systems Engineer

Quality Systems Engineer

PFNonwovens LLC

Hazleton, PA

Full-time

Re-posted 26 days ago


Job description

Purpose and role of job:

Assists in the development, implementation, and effectiveness of PFN’s Quality Management System (QMS). Support integration of QMS with software platforms to share and manage content to derive knowledge and metrics in a collaborative work environment. Where appropriate, the content design drives corrective actions to deliver on quality objectives/goals.

Principal Accountabilities/ Responsibilities:

· Responsible for continuous improvement of PFN’s QMS through leadership of Self Improvement Planning (SIP):

o Outlines Internal Audit Plans against industry quality standards and best practices.

o Creates and manages Corrective Action / Preventive Action (CAPA) Plan with metrics to monitor progress against objectives.

o Performs periodic reviews of CAPAs and Internal Audits to sustain efforts.

o Assists with planning and execution of External Audits and related CAPAs as needed.

o Calculates, updates, and monitors quality metrics.

o Works with cross-functional departments as needed to support system update / implementation consistent with meeting quality goals.

o Provides training to Team Members as required for implementing quality initiatives.

· Primary Vision System Leader for troubleshooting issues and providing guidance to team responsible for system reliability.

o Sets up new recipes and classifiers for new products.

o Optimizes recipes and classifiers as needed.

o Checks on inspection systems daily

o Sets up safety factors.

o Calibrates and validates Vision System Cameras.

o Addresses MES issues.

o Coordinates with OEM as necessary.

· Quality Engineer Responsibility

o Acts as primary QA contact for assigned customers.

o Establishes effective working relationships with assigned customers.

o Investigates, determines root cause, and implements effective CAPAs for customer complaints.

o Works collaboratively with cross-functional departments to define customer needs and meet expectations.

o Receives, reviews, and initiates approval process for customer specifications.

o Initiates and participates in Technical Standard Change Request (TSCR) system as needed.

Education and experience requirements:

· BS Degree in an Engineering, Technology, Mathematics, Business, or Science discipline.

· 5+ years in technical role in manufacturing environment desirable.

· Knowledgeable in usage and set-up of web-based applications and software packages.

· Experience in Internal and External Auditing against quality standards (ISO, EDANA, and/or GMP).

· Strong written and verbal communication skills

· Demonstrated technical, business, and leadership skills.

· Knowledge of quality systems (ISO, EDANA, and/or GMP).

· Skilled in statistics, problem solving, and procedure implementation.

· Exceptional competence and professionalism in interactions with executive management, customers, and vendors.

Work Environment:

Observes all safety rules and always uses proper safety equipment.

Physical Requirements:

Manufacturing environment. Must comply with all safety and PPE requirements including but not limited to steel toe shoes, safety glasses and hearing protection. Must be able to walk, talk, sit/stand, hear, reach, use computer, climb stairs, bend and twist throughout the day.