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Senior Machine Learning Engineer Jobs in United, PA

LHi Group Ltd

Staff Machine Learning Engineer

Calumet, PA · On-site

$280K/yr

* Staff Applied Machine Learning Engineer * Remote (must be based in USA) * Work Authorization: ship or required due to government contract requirements * $230-280,000 base + Equity + Benefits About ...

LHi Group Ltd

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

Senior Manager, Data Science Location: United States - Fully remote Salary: $210,000-$230,000 base ... machine learning engineer Strong Python, modeling and production data experience Startup or ...

Arcfield

Senior Principal Digital Engineer

Monroeville, PA · On-site

$124K - $171K/yr

... Machine Learning (AI/ML) methodologies, and modernizing engineering and operational processes ... Responsibilities The Senior Principal Engineer is expected to bring both technical expertise and ...

Catalyst Labs

ML Engineer

United, PA · On-site

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems ...

Hitachi, Ltd.

Senior Lead Engineer

Mount Pleasant, PA · On-site

$101K - $139K/yr

... for a Senior Lead Engineer - Substation Design to join our team in Mount Pleasant, PA (Hybrid ... Professional Growth - Tuition reimbursement and continuous learning programs * Family Support ...

Hitachi

Senior Lead Engineer

Mount Pleasant, PA

$101K - $139K/yr

... for a Senior Lead Engineer - Substation Design to join our team in Mount Pleasant, PA (Hybrid ... Professional Growth - Tuition reimbursement and continuous learning programs * Family Support ...

Catalyst Labs

Tech Lead, Data & Inference Engineer

United, PA · On-site

$102K - $123K/yr

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a data ...

Kurt J Lesker

Machine Apprentice

Jefferson Hills, PA · On-site

$16 - $20.50/hr

Are you passionate about machining , innovation , and continuous learning ? Join our state ... Work with Machinists, Project Managers and Engineers to solve problems and improve processes

Technimark LLC

Senior Automation Engineer

Latrobe, PA

$92K - $120K/yr

Experience and Expertise: BS in engineering or combination of education skills and experience ... Aid in the improvement of existing automation machinery. * Tackle challenges and troubleshoot new ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in United, PA

Senior Machine Learning Engineer information

See United, PA salary details

$59.6K

$126.9K

$183.9K

How much do senior machine learning engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior machine learning engineer in United, PA is $126,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $143,800.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in United, PA?

The most popular types of Machine Learning Engineer jobs in United, PA are:

What are popular job titles related to Senior Machine Learning Engineer jobs in United, PA?

For Senior Machine Learning Engineer jobs in United, PA, the most frequently searched job titles are:

What cities near United, PA are hiring for Senior Machine Learning Engineer jobs?

Cities near United, PA with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in United, PA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,861 per year, or $61 per hour.

Staff Machine Learning Engineer

LHi Group Ltd

Calumet, PA • On-site

$280K/yr

Other

Posted 26 days ago

Job description

  • Staff Applied Machine Learning Engineer
  • Remote (must be based in USA)
  • Work Authorization: ship or required due to government contract requirements
  • $230-280,000 base + Equity + Benefits

About the Opportunity
Our client is a rapidly growing, venture-backed AI company building secure, enterprise-grade AI solutions for highly regulated industries. Their platform helps organizations unlock the value of complex data by embedding AI into mission-critical workflows, improving decision-making, operational efficiency, and knowledge discovery.
As the company continues to scale, they are investing heavily in next-generation AI capabilities, including search, knowledge exploration, semantic reasoning, and agentic AI. This is an opportunity to join a high-caliber engineering team tackling technically challenging problems at production scale while helping shape the future direction of the platform.
The Role
As a Staff Applied Machine Learning Engineer, you will design, build, and deploy advanced machine learning solutions that power intelligent search, knowledge exploration, and AI-driven workflows.
You'll work closely with product, platform, and engineering teams to develop production-grade ML systems, combining strong software engineering fundamentals with expertise in modern AI techniques. This is a highly technical individual contributor role with significant ownership and influence over architectural decisions.
Responsibilities
  • Lead the design, development, and deployment of machine learning models for large-scale production systems.
  • Design and build intelligent search and knowledge exploration capabilities using modern ML techniques.
  • Develop systems involving knowledge graphs, semantic representations, and advanced entity understanding.
  • Collaborate with engineering and product teams to deliver end-to-end machine learning solutions.
  • Evaluate model performance, runtime efficiency, and scalability in production environments.
  • Communicate technical decisions, trade-offs, and recommendations to both technical and non-technical stakeholders.
  • Build high-quality enterprise software while maintaining a fast pace of delivery.
  • Take ownership of projects from design through implementation, deployment, and ongoing support.
  • Troubleshoot and support distributed production systems.
  • Stay current with advances in AI and machine learning and apply emerging techniques where appropriate.

Required Qualifications
  • ship or required.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, NLP, or a related field. A PhD is strongly preferred.
  • 10+ years of experience building and deploying production machine learning systems.
  • Strong background in Natural Language Processing (NLP), information retrieval, or semantic search.
  • Experience designing and supporting knowledge graph or semantic representation systems.
  • Proven experience building and deploying Agentic AI systems, including orchestration, tool use, reasoning workflows, and context management.
  • Strong software engineering skills with experience building scalable distributed systems.
  • Experience working with production ML systems throughout their lifecycle.
  • Excellent communication and cross-functional collaboration skills.
  • Experience leveraging modern AI tools to improve engineering productivity.
  • Demonstrated curiosity, adaptability, and a continuous learning mindset.

Preferred Qualifications
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, NLP, or a related discipline.
  • Experience working in startup or high-growth environments, particularly building 0?1 products.
  • Familiarity with Kubernetes and cloud-native infrastructure.
  • Experience integrating machine learning models into large-scale enterprise platforms.

Why Join?
  • Join a fast-growing, well-funded AI company solving complex real-world problems.
  • Work on cutting-edge technologies including Agentic AI, NLP, search, knowledge graphs, and semantic reasoning.
  • Collaborate with an experienced engineering team that values technical excellence, ownership, and innovation.
  • Competitive compensation and meaningful pre-IPO equity.
  • Fully remote position within the United States.

Apply