ZipRecruiter

Log In

1

Junior 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

... machine learning engineer Strong Python, modeling and production data experience Startup or hypergrowth company experience Experience with large-scale data systems Strong people-management 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 ...

POWEREX, INC.

Equipment System Engineer

Youngwood, PA · On-site

This is done by integrating platforms, equipment, machines, and systems to streamline the ... They have a higher degree of self-sufficiency than junior equipment systems engineers yet are still ...

POWEREX INC

Equipment System Engineer

Youngwood, PA · On-site

$65K - $95K/yr

This is done by integrating platforms, equipment, machines, and systems to streamline the ... They have a higher degree of self-sufficiency than junior equipment systems engineers yet are still ...

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

Kurt J Lesker Company

Machine Apprentice

Clairton, 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

Arcfield

Senior Principal Digital Engineer

Monroeville, PA · On-site

$124K - $171K/yr

This role will focus on implementing cutting-edge MBSE processes, advancing Digital Threads, integrating Artificial Intelligence/Machine Learning (AI/ML) methodologies, and modernizing engineering ...

SMC Region USC

Regulatory Engineer

Brier Hill, PA

We offer competitive wages and benefits , strong support for learning and professional development ... Reviews spare parts recommendations and develop accuracy of Machine Life Operating Costs (MLOC ...

Marmon Holdings, Inc.

Machinist (1st Shift)

Blairsville, PA · On-site

$18.50 - $24.50/hr

Penn Machine Company LLC As a part of the global industrial organization Marmon Holdings-which is ... We're committed to making a positive impact on the world, providing you with diverse learning and ...

Marmon

Machinists (1st Shift)

Blairsville, PA · On-site

$18.50 - $24.50/hr

Penn Machine Company LLC As a part of the global industrial organization Marmon Holdings-which is ... We're committed to making a positive impact on the world, providing you with diverse learning and ...

next page

Showing results 1-20

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

Junior Machine Learning Engineer information

See United, PA salary details

$33.6K

$72K

$109.8K

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

As of Aug 24, 2026, the average yearly pay for junior machine learning engineer in United, PA is $71,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $80,200.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
More about Junior Machine Learning Engineer jobs

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 Junior Machine Learning Engineer jobs in United, PA?

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

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

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

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in United, PA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 72% In-person, 6% Hybrid, and 22% Remote job distribution, with an average salary of $71,972 per year, or $34.6 per hour.

Staff Machine Learning Engineer

Calumet, PA • On-site

LHi Group Ltd
See more jobs at LHi Group Ltdexternal

$280K/yr

Other

Posted 18 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