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Machine Learning Engineer Jobs in State College, PA

Varsity Tutors

Data Science Tutor

State College, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

AVTC Group

Software Eningeer

State College, PA · On-site

  • Medical

  • Dental

  • Vision

... Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a ... in Machine Learning and Data Science. • Experience working with large datasets and performing ...

Varsity Tutors

Python Tutor

State College, PA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Linear Algebra Tutor

State College, PA · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in State College, PA

Machine Learning Engineer information

See State College, PA salary details

$30.8K

$125.9K

$189.2K

How much do machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning engineer in State College, PA is $125,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $151,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

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

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

What are popular job titles related to Machine Learning Engineer jobs in State College, PA?

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

What cities near State College, PA are hiring for Machine Learning Engineer jobs?

Cities near State College, PA with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in State College, PA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,936 per year, or $60.5 per hour.

Sr Software Engineer with Security Clearance

Associates Systems LLC

State College, PA • On-site

$119K - $157K/yr

Other

Medical, Dental, Vision

Re-posted 20 days ago

Job description

Sr Software Engineer * State College, PA  Active TS/SCI is a must - this effort is on-site  All qualified candidates will be responded to within 24 hrs or less. Employment type: Full Time w-2 or C2C or 1099. Depending on the type of employment we can offer benefits: including Health, Dental Vision etc... Rate: 90-115/hr DOE and compensation type On-Site in State College PA In the Senior ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems. We invite you to be part of a team that pushes the boundaries of what's possible. Due to the security clearance requirement, this is an onsite position in our State College, PA office. What You Will Do • Design, develop, and maintain advanced software applications for our Satellite Ground Systems. • Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions. • Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems. • Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines. • Collaborate with cross-functional teams to define software requirements and specifications. • Work with previously written code and make modifications as necessary. • Ensure software performance, reliability, and scalability. • Participate in software design reviews, code reviews, and system integration activities. • Contribute to the completion of program and project milestones under the specific guidance of their immediate supervisor. • Follow established Software processes and procedures, development, documentation and maintenance/management of operations concepts, requirements (system, element, segment level), external and internal interfaces, and other software engineering work products/artifacts. Qualifications You Must Have • Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and five (5) years of Software Engineering experience. • Experience in object-oriented software design and development using Java or Python in a Linux environment. • Experience with unit testing tools (e.g., JUnit). • Experience in Machine Learning and Data Science. • Experience working with large datasets and performing data analysis. Qualifications We Prefer • Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software. • Security+ certification. • Experience with Git, Jenkins, Docker, Kubernetes. • Experience with the Atlassian Tool Suite (e.g. JIRA, Confluence, BitBucket). • Experience with cloud computing platform (e.g. AWS or Azure). • Experience with satellite communication systems and protocols is highly preferred. • Familiarity with secure coding practices, especially in a defense or aerospace setting. #CJ

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