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Full Time Computer Vision Deep Learning Engineer Jobs in Lime Ridge, PA

Leveraging your deep expertise and mastery of machine learning, you will spearhead the development ... We offer healthcare benefits for full time and part time positions from day one, including vision ...

Leveraging your deep expertise and mastery of machine learning, you will spearhead the development ... We offer healthcare benefits for full time and part time positions from day one, including vision ...

Network Engineer

Milton, PA · On-site

$60K - $80K/yr

Supporting computer hardware and software What You'll Be Doing : * Providing onsite and/or remote ... vision, paid holidays, and a generous PTO plan. * PASSION: A passionate work environment - we are ...

All AutoZoners (Full-Time and Part-Time): * Competitive pay * Unrivaled company culture * Medical, dental and vision plans * Exclusive discounts and perks, including an AutoZone in-store discount ...

All AutoZoners (Full-Time and Part-Time): * Competitive pay * Unrivaled company culture * Medical, dental and vision plans * Exclusive discounts and perks, including an AutoZone in-store discount ...

Design Engineer

PA · On-site

$75K - $90K/yr

Genuine excitement and skills for bringing designs to life from the 3D CAD world to physical ... salary, Health, Dental, Vision, 401(k), life insurance, short-term disability, tuition ...

Senior Bridge Engineer

PA · On-site

$91K - $125K/yr

JOB SUMMARY LIVIC Civil is looking to fill a full-time Senior Bridge Engineer position for our ... the vision for your practice. * Comprehensive Back-Office Support - Focus on leadership and ...

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Showing results 1-20

Full Time Computer Vision Deep Learning Engineer information

See Lime Ridge, PA salary details

$45.1K

$112.9K

$127.8K

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

As of Aug 21, 2026, the average yearly pay for full time computer vision deep learning engineer in Lime Ridge, PA is $112,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $122,200.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

What cities near Lime Ridge, PA are hiring for Full Time Computer Vision Deep Learning Engineer jobs?

Cities near Lime Ridge, PA with the most Full Time Computer Vision Deep Learning Engineer job openings:

Infographic showing various Full Time Computer Vision Deep Learning Engineer job openings in Lime Ridge, PA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $112,908 per year, or $54.3 per hour.

AI Data Scientist Senior

Geisinger Health

Danville, PA • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 21 days ago


Geisinger Health rating

6.9

Company rating: 6.9 out of 10

Based on 447 frontline employees who took The Breakroom Quiz

456th of 891 rated healthcare providers


Job description

Location:
Work from home (Pennsylvania)
Shift:
Days (United States of America)
Scheduled Weekly Hours:
40
Worker Type:
Regular
Exemption Status:
Yes
Job Summary:
The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle of data science initiatives that directly impact healthcare outcomes. Leveraging your deep expertise and mastery of machine learning, you will spearhead the development, implementation, and evaluation of complex AI models in healthcare settings. Your ability to translate technical concepts into actionable insights will empower stakeholders to make informed decisions that enhance patient care and operational efficiency. You will also play a crucial role in mentoring and developing junior data scientists, fostering a culture of data-driven innovation.
Job Duties:
  • Leads and manages the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization.
  • Collaborates with cross-functional teams to define project scope, objectives, and success metrics.
  • Ensures projects align with organizational goals and deliver measurable impact on healthcare outcomes.
  • Leverages deep understanding of machine learning algorithms (decision trees, neural networks, graphical models, etc.) to build sophisticated predictive models for diverse healthcare applications.
  • Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns and insights within large, complex healthcare datasets.
  • Applies rigorous validation techniques to ensure model accuracy, reliability, and fairness.
  • Oversees the deployment of models into production environments, ensuring seamless integration with existing systems.
  • Extracts insights from clinical and operational data sources (Epic Clarity, HL7, DICOM, and other enterprise data sources) to inform decision-making and guide project direction.
  • Translates complex technical findings into compelling narratives that resonate with non-technical stakeholders.
  • Facilitates data-driven decision-making by effectively communicating the value and impact of AI models.
  • Mentors and guide junior data scientists, fostering their professional growth and technical expertise.
  • Promotes a culture of collaboration, knowledge sharing, and continuous learning within the data science team.
  • Contributes to developing best practices and standards for data science and machine learning within the organization.
  • Stays abreast of the latest advancements in machine learning and healthcare research to identify opportunities for improvement and innovation.
  • Experiments with new approaches and technologies to enhance model performance and expand the organization's data science capabilities.

Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
*Relevant experience may be a combination of related work experience and degree obtained (Master's Degree = 2 years; PHD = 4 years ).
Position Details:
Education:
Bachelor's Degree-Related Field of Study (Required)
Experience:
Minimum of 4 years-Relevant experience* (Required)
Certification(s) and License(s):
Skills:
Analytical Thinking, C++ Programming Language, Clinical Data Cleaning, Communication, Group Collaboration, Machine Learning Methods, Python (Programming Language), Statistical Methods, Structured Query Language (SQL)
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.
We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

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