Machine Learning Jobs in Lancaster, PA (NOW HIRING)

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.