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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Get Access To All JobsJob Summary:
About the Role
We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won’t just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges.
Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused.
Job Description:
- Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
- Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
- LLM Integration & Optimization: Lead the integration of LLMs via Azure OpenAI, focusing on prompt engineering, model parameter tuning, and performance monitoring.
- Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
- System Orchestration: Build and manage AI middleware that connects LLMs to PostgreSQL, enterprise data sources, and third-party APIs.
- Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.
What We're Looking For
Required:
- AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
- Agentic Frameworks: Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).
- Database Expertise: Strong proficiency in PostgreSQL (or other relational databases), including experience with relational schema design and ideally pgvector for managing vector embeddings.
- Azure AI Ecosystem: Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services.
- Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
- Core Engineering: Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.
Nice to Have:
- Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
- Familiarity with Python for AI prototyping and data manipulation.
- Experience with microservices architecture
- Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
- Familiarity with monorepo tooling
- Experience mentoring or leading other developers
Benefits:
- Generous Paid Time Off
- 11 Paid Holidays
- Medical, Dental, Vision, Life insurance benefits with various choices and generous employer contribution
- 401k with employer match which immediately vests
- Annual Company Bonus
- Career growth and mentoring opportunities as a smaller business unit within the Volaris Group
- Tuition Reimbursement Program
- Employee rewards and recognition programs
- Optional Employee Stock Purchase Program with company match
- Pet insurance
- Employee Discount Platform discounted entertainment tickets to movies, sporting events, hotels, live performances, etc.
- Referral bonuses
- Employee engagement events
- Flexible remote work arrangements
Worker Type:
Regular
Number of Openings Available:
1
Job Summary:
About the Role
We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won’t just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges.
Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused.
Job Description:
- Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
- Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
- LLM Integration & Optimization: Lead the integration of LLMs via Azure OpenAI, focusing on prompt engineering, model parameter tuning, and performance monitoring.
- Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
- System Orchestration: Build and manage AI middleware that connects LLMs to PostgreSQL, enterprise data sources, and third-party APIs.
- Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.
What We're Looking For
Required:
- AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
- Agentic Frameworks: Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).
- Database Expertise: Strong proficiency in PostgreSQL (or other relational databases), including experience with relational schema design and ideally pgvector for managing vector embeddings.
- Azure AI Ecosystem: Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services.
- Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
- Core Engineering: Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.
Nice to Have:
- Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
- Familiarity with Python for AI prototyping and data manipulation.
- Experience with microservices architecture
- Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
- Familiarity with monorepo tooling
- Experience mentoring or leading other developers
Benefits:
- Generous Paid Time Off
- 11 Paid Holidays
- Medical, Dental, Vision, Life insurance benefits with various choices and generous employer contribution
- 401k with employer match which immediately vests
- Annual Company Bonus
- Career growth and mentoring opportunities as a smaller business unit within the Volaris Group
- Tuition Reimbursement Program
- Employee rewards and recognition programs
- Optional Employee Stock Purchase Program with company match
- Pet insurance
- Employee Discount Platform discounted entertainment tickets to movies, sporting events, hotels, live performances, etc.
- Referral bonuses
- Employee engagement events
- Flexible remote work arrangements
Worker Type:
Regular
Number of Openings Available:
1
ML Engineer Job Roles in Pennsylvania
See all 47+ 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.