ML Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's ML engineer hiring is concentrated in Philadelphia and Pittsburgh, where companies like Comcast, Siemens, and Carnegie Mellon's spinouts regularly sponsor skilled technical workers. The state's academic infrastructure, anchored by CMU, Penn, and Pitt, feeds a steady pipeline of ML talent into roles spanning healthcare AI, robotics, and enterprise software.
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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
ML Engineer Job Roles in Pennsylvania
See all 308+ ML Engineer Jobs in Pennsylvania
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Search ML Engineer Jobs in PennsylvaniaML Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies in Pennsylvania sponsor visas for ML engineers?
Several large employers in Pennsylvania have established track records of sponsoring ML engineers. In Philadelphia, Comcast and SAP sponsor H-1B visa petitions for applied ML roles. In Pittsburgh, Google, Uber ATG's successor operations, and Duolingo have filed LCA disclosures for ML positions. Healthcare systems like UPMC also sponsor ML engineers working on clinical AI. Sponsorship activity is concentrated among mid-to-large tech, healthcare, and defense contractors.
Which visa types are most common for ML engineers in Pennsylvania?
The H-1B is the most common visa category for ML engineers in Pennsylvania, as the role typically qualifies as a specialty occupation requiring a relevant bachelor's degree or higher. Candidates from Australia may qualify for the E-3 visa instead. Those with extraordinary ability in ML research may be eligible for the O-1A. Recent graduates on OPT or STEM OPT extension are also common in Pennsylvania's ML hiring pipeline, particularly through CMU and Penn.
Which cities in Pennsylvania have the most ML engineer visa sponsorship jobs?
Pittsburgh leads Pennsylvania for ML engineer sponsorship volume, driven by Carnegie Mellon University's research commercialization ecosystem and the presence of Google, Meta, and robotics-focused startups. Philadelphia is the second major hub, with activity concentrated in enterprise software, healthcare AI, and fintech. Smaller clusters exist around University Park, linked to Penn State research, though sponsor density there is notably lower than in the two main metros.
How to find ml engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search ML engineer roles in Pennsylvania without wading through postings from employers who don't sponsor. You can filter by location to focus on Pittsburgh or Philadelphia, where sponsorship activity is highest. Migrate Mate's listings are curated for international candidates, so the roles shown are from employers who have historically filed LCAs or H-1B petitions for ML positions.
Are there any Pennsylvania-specific considerations for ML engineers seeking sponsorship?
Pennsylvania's ML hiring is heavily influenced by its university ecosystem. CMU, Penn, Drexel, and Pitt produce a large share of ML talent, and many employers in the state have existing OPT-to-H-1B pipelines through those institutions. The state's strength in healthcare technology and defense research means ML engineer roles here often require specialized domain knowledge in those sectors. Prevailing wage requirements apply statewide and are determined by the Department of Labor based on the specific job location, not a single Pennsylvania-wide figure.
What is the prevailing wage for sponsored ml 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.