Machine Learning Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's machine learning engineer job market spans Philadelphia's growing tech corridor, Pittsburgh's world-class AI research ecosystem anchored by Carnegie Mellon University, and major employers including Google, Amazon, and Comcast. Many of these organizations have active visa sponsorship programs, making Pennsylvania a strong destination for international ML engineers seeking H-1B visa and other work visa pathways.
Find Machine Learning Engineer JobsOverview
Showing 5 of 27+ Machine Learning Engineer Jobs in Pennsylvania with Visa Sponsorship
See all Machine Learning Engineer Jobs in Pennsylvania with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs in Pennsylvania with Visa Sponsorship.
Get Access To All JobsCompany 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
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 Engineer Job Roles in Pennsylvania
See all Machine Learning Engineer Jobs in Pennsylvania
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Machine Learning Engineer Jobs in PennsylvaniaMachine Learning Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies in Pennsylvania sponsor visas for machine learning engineers?
Large technology and healthcare employers are among the most active sponsors for machine learning engineers in Pennsylvania. Google's Pittsburgh office, Amazon, Comcast, SAP, and major health systems like UPMC have filed Labor Condition Applications for ML-related roles. Financial services firms in Philadelphia, including Vanguard and Cigna, also sponsor machine learning engineers with some regularity. Sponsorship activity varies year to year and is not guaranteed for every open role.
Which visa types are most common for machine learning engineer roles in Pennsylvania?
The H-1B is the most common visa category for machine learning engineers in Pennsylvania, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some employers also sponsor O-1A visas for engineers with exceptional credentials or significant research recognition. Candidates already in the U.S. on OPT or STEM OPT extensions often transition to H-1B through their Pennsylvania-based employer.
Which cities in Pennsylvania have the most machine learning engineer sponsorship jobs?
Pittsburgh and Philadelphia account for the majority of machine learning engineer sponsorship activity in Pennsylvania. Pittsburgh benefits from proximity to Carnegie Mellon University and the University of Pittsburgh, which sustains a dense concentration of AI and ML employers, research labs, and startups. Philadelphia's tech sector, centered around University City and Center City, attracts ML roles in healthtech, fintech, and enterprise software. Smaller markets like State College have limited but emerging ML employer presence.
How to find machine learning engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse machine learning engineer roles in Pennsylvania without sifting through positions that don't offer sponsorship. You can narrow results by location to focus on Pittsburgh or Philadelphia, where sponsorship activity is highest. Because ML is a competitive field, filtering for sponsorship-confirmed employers early in your search saves significant time and helps you prioritize outreach to companies already experienced with the H-1B process.
Are there state-specific factors machine learning engineers should know when pursuing visa sponsorship in Pennsylvania?
Pennsylvania's university pipeline is a notable factor. Carnegie Mellon's School of Computer Science and its strong industry partnerships mean many Pittsburgh employers are accustomed to hiring international graduates and navigating the H-1B process. Prevailing wage requirements for machine learning engineers vary by metropolitan area, so a role in Pittsburgh may carry different wage obligations than one in Philadelphia. Employers are legally required to pay at least the prevailing wage for the position, which the Department of Labor determines based on location and job duties.
What is the prevailing wage for sponsored machine learning engineer 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.