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Volunteering Deep Learning Research Jobs in Spring Grove, PA

Marathon Health

Family Nurse Practitioner

Hanover, PA

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

With 20+ years' experience from our shared organizations, we hold a unified goal of building deep ... Regular provider meetings, such as journal clubs and grand rounds, for ongoing learning ...

WellSpan Health

Manager-Payor Contracting

York, PA · On-site

  • Medical

  • Retirement

  • PTO

Participates and coordinates learning events and training. Participates in the development and ... Provides oversight and governance Payor Research Information Request process and the investigation ...

WellSpan Health

Manager-Payor Contracting

York, PA · On-site

  • Medical

  • Retirement

  • PTO

Participates and coordinates learning events and training. Participates in the development and ... Provides oversight and governance Payor Research Information Request process and the investigation ...

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All JobsVolunteering Deep Learning Research JobsVolunteering Deep Learning Research Jobs in Spring Grove, PA

Volunteering Deep Learning Research information

What is volunteering deep learning research?

Volunteering deep learning research involves contributing your time and skills to support research projects focused on deep learning, often within academic, nonprofit, or open-source communities. Volunteers may help with tasks such as data annotation, coding, literature reviews, or running experiments. This work can be a great way to gain hands-on experience, collaborate with experienced researchers, and make a positive impact without a formal employment relationship. Opportunities are available for individuals with varying levels of expertise, from students to professionals.

What types of projects and tasks can I expect to work on as a volunteer in deep learning research?

As a volunteer in deep learning research, you may be involved in a variety of tasks such as data preprocessing, literature reviews, implementing and testing machine learning models, or assisting with experiments. Depending on the research lab or team, you could also contribute to writing code, analyzing results, or preparing research papers and presentations. Collaboration is common, so you'll likely work closely with researchers, graduate students, and other volunteers. This role is an excellent opportunity to gain hands-on experience, deepen your understanding of deep learning concepts, and build a network within the AI research community.

What are the key skills and qualifications needed to thrive as a volunteering deep learning researcher, and why are they important?

To thrive as a Volunteering Deep Learning Researcher, you need a strong background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by relevant coursework or self-study. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and version control systems like Git is typically required. Curiosity, collaboration, effective communication, and self-motivation are standout soft skills in this role. These skills and qualities are crucial for contributing meaningfully to research projects, learning independently, and advancing innovative solutions within a team-oriented research environment.

What is the difference between Volunteering Deep Learning Research vs Data Scientist?

AspectVolunteering Deep Learning ResearchData Scientist
CredentialsTypically requires knowledge of deep learning frameworks, programming skills, and research experience; often no formal certification neededRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentResearch-focused, often nonprofit or academic settings, with flexible hoursCorporate or industry settings, structured work hours, project-driven
Employer & IndustryAcademic institutions, research labs, nonprofitsTech companies, finance, healthcare, and other industries

While both roles involve working with data and machine learning, volunteering deep learning research focuses on academic or nonprofit research projects often without formal compensation, whereas data scientists work in industry settings with a focus on applying data analysis to business problems.

What cities near Spring Grove, PA are hiring for Volunteering Deep Learning Research jobs?

Cities near Spring Grove, PA with the most Volunteering Deep Learning Research job openings:

Volunteering Deep Learning Research jobs near you
Infographic showing various Volunteering Deep Learning Research job openings in Spring Grove, PA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Vision Guided Robotics Developer

WESTFALIA TECHNOLOGIES INC

York, PA

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

Job description

Westfalia Technologies, Inc. is seeking a dedicated Vision Guided Robotics Developer to join our Research and Development team! The Vision Guided Robotics Developer designs and develops intelligent software systems that enable robotic platforms to operate autonomously in industrial environments. This role applies artificial intelligence, computer vision, and robotics technologies to advance automation capabilities and support vision-guided robotic systems used in material handling and warehouse automation.

Location Requirements: The position is hybrid, based out of Westfalia Technologies' headquarters in York, PA, and requires residency within 100 miles of that facility and within one of the following states: DE, MD, NJ, or PA.

Job Functions:

  • Design, develop, and maintain software systems for robotic perception, navigation, and manipulation using AI, machine learning, and traditional programming approaches, selecting the method best suited to the business need.
  • Develop and integrate robotics software using ROS2, including ros2_control, MoveIt, and/or Nav2, to support autonomous operation in industrial environments.
  • Implement computer vision systems using OpenCV and deep learning architectures (e.g., YOLO, U-Net, SAM, CNNs, Vision Transformers) for real-time robotic perception.
  • Develop RGB-D and multi-sensor perception pipelines, including 3D perception, 6D pose estimation, SLAM, and/or visual odometry.
  • Train, optimize, and deploy machine learning models using PyTorch or TensorFlow; deploy to edge robotics hardware (e.g., NVIDIA Jetson, GPU servers, or industrial PCs) using ONNX, TensorRT, and GPU acceleration.
  • Monitor deployed AI systems; analyze and report on performance, accuracy, and efficiency improvements to relevant stakeholders.
  • Collaborate with engineering and software teams to ensure solutions meet operational and project requirements.
  • Communicate project status, risks, and outcomes clearly to internal stakeholders.
  • Maintain familiarity with current AI and robotics technologies and industry best practices.
  • Protect confidential and proprietary company information.

Required Skills and Abilities:

  • Strong programming proficiency in Python and C++, with experience building robotics and AI systems in Linux environments.
  • Experience with ROS2 and associated packages (ros2_control, MoveIt, Nav2).
  • Proficiency with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience with computer vision libraries and deep learning architectures for robotic perception (OpenCV, YOLO, U-Net, SAM, CNNs, Vision Transformers).
  • Knowledge of camera geometry, camera calibration, feature extraction, and image processing.
  • Experience with robotics simulation platforms (e.g., NVIDIA Isaac Sim, Gazebo, MuJoCo, or Unity) for testing and synthetic data generation.
  • Familiarity with CAD tools (e.g., SolidWorks, Fusion 360, or Onshape) and preparing CAD models for simulation environments.
  • Experience with Docker, Git, and modern development workflows.
  • Strong verbal and written communication skills in English, including the ability to explain technical concepts clearly to non-technical audiences.
  • Ability to work collaboratively across engineering and software teams.
  • Education and Experience
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field required.
  • Minimum 3 years of professional experience developing, training, and deploying machine learning or AI models.
  • Equivalent combinations of education and relevant experience may be considered.

Education and Experience:

  • Bachelor’s or Master’s degree in computer science or a related field.
  • 3+ years of experience developing, training, and deploying machine learning or AI models in a professional environment

Physical Requirements:

  • Ability to remain in a stationary position (seated or standing) for extended periods while working at a computer.
  • Ability to occasionally move about within an office or warehouse environment.
  • Ability to occasionally transport equipment or materials weighing up to 15 pounds (e.g., laptop, testing hardware).
  • Ability to communicate effectively in person, via telephone, and through virtual platforms.
  • Ability to travel by air and operate a motor vehicle; must hold a valid driver's license and meet rental vehicle eligibility requirements.

Travel Requirements:

This position requires approximately 10% travel, including occasional domestic and international travel for client visits, technical collaboration, and other business events. Stays of more than one week at international partner sites may occur infrequently. Remote work is available with manager approval when job duties permit. Regular in-office time at the York, PA facility is expected.

Work Authorization: Candidates must be authorized to work in the United States. Westfalia Technologies does not currently offer or anticipate offering immigration sponsorship for this position.

Why Work for Westfalia Technologies, Inc.?  
Our culture can be defined as one of progression and flexibility. Over the years, we have learned it is not only about pay or job title, but more importantly, the relationships and benefits that keep our employees happy and engaged! 

  • Competitive Salary 
  • Medical, Dental, and Vision Coverage 
  • 401K and match options  
  • Educational Assistance Reimbursement  
  • Wellness Program 
  • Healthy Living Reimbursement 
  • Paid Parental Leave  
  • And more!  

Check out our Careers page for more information regarding our culture and additional benefits at https://www.westfaliausa.com/company/careers!  

Westfalia Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, or service in the military. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. 

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