Machine Learning Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's machine learning job market centers on Philadelphia and Pittsburgh, where employers like Carnegie Mellon University, Comcast, and PNC Financial regularly sponsor international talent. The state's combination of world-class research institutions and established enterprise tech and finance sectors creates consistent demand for machine learning engineers, researchers, and data scientists seeking visa sponsorship.
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At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.
Responsibilities
- Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
- Design and conduct experiments to train RL models and conduct real-world tests.
- Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
- Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
- Analyze and interpret experimental results, iterating on model design to achieve desired performance.
- Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
- Strong background in algorithms, data structures, and software engineering principles.
- Experience with physics simulation engines and tools for training RL.
- Deep understanding of state-of-the-art machine learning techniques and models.
- Extensive industry experience with reinforcement learning and robotic systems.
Base Salary Range
$100,000-$300,000 USD
Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.
Responsibilities
- Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
- Design and conduct experiments to train RL models and conduct real-world tests.
- Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
- Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
- Analyze and interpret experimental results, iterating on model design to achieve desired performance.
- Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
- Strong background in algorithms, data structures, and software engineering principles.
- Experience with physics simulation engines and tools for training RL.
- Deep understanding of state-of-the-art machine learning techniques and models.
- Extensive industry experience with reinforcement learning and robotic systems.
Base Salary Range
$100,000-$300,000 USD
Machine Learning Job Roles in Pennsylvania
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Search Machine Learning Jobs in PennsylvaniaMachine Learning Jobs in Pennsylvania: Frequently Asked Questions
Which companies in Pennsylvania sponsor visas for machine learning roles?
Large employers with documented H-1B visa sponsorship histories in Pennsylvania include Comcast, PNC Financial Services, SEI Investments, and Johnson & Johnson. Pittsburgh's tech sector adds companies like Duolingo and Aurora Innovation. Carnegie Mellon University and the University of Pennsylvania also sponsor machine learning researchers and faculty. Enterprise software and healthcare IT firms in the Philadelphia suburbs are additional sources of sponsorship activity.
Which visa types are most common for machine learning jobs in Pennsylvania?
The H-1B is the most common visa for machine learning roles in Pennsylvania, as software engineering and data science positions typically qualify as specialty occupations requiring a bachelor's degree or higher in a relevant field. Researchers and postdoctoral candidates at universities may encounter the J-1 visa or O-1 visa. Canadians and Mexicans with qualifying credentials may be eligible for the TN visa under the USMCA, which covers computer systems analysts and similar roles.
Which cities in Pennsylvania have the most machine learning visa sponsorship jobs?
Pittsburgh accounts for a significant share of Pennsylvania's machine learning sponsorship activity, driven by Carnegie Mellon's AI research ecosystem and the tech companies it has attracted, including autonomous vehicle and robotics firms. Philadelphia is the other major hub, with demand concentrated in financial services, healthcare IT, and enterprise software. The Philadelphia suburbs, particularly along the Route 202 corridor, also host a number of technology employers that sponsor international workers.
How to find machine learning visa sponsorship jobs in Pennsylvania?
Migrate Mate is built specifically for international job seekers and filters machine learning roles in Pennsylvania by visa sponsorship status, so you're not sorting through listings from employers who won't sponsor. The platform surfaces roles from companies with verified sponsorship track records across Pittsburgh, Philadelphia, and the surrounding metro areas. Searching by role type within Pennsylvania on Migrate Mate is a practical starting point for identifying active opportunities.
Are there any state-specific factors that affect machine learning visa sponsorship in Pennsylvania?
Pennsylvania's academic infrastructure plays an outsized role in its machine learning hiring pipeline. Carnegie Mellon University in Pittsburgh is one of the top producers of machine learning talent globally, which has drawn research-oriented employers to the region and normalized sponsorship practices among local tech firms. Employers filing H-1B petitions must meet Department of Labor prevailing wage requirements specific to the Philadelphia or Pittsburgh metropolitan statistical areas, which differ from national averages.
What is the prevailing wage for sponsored machine learning jobs in Pennsylvania?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.