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Machine Learning Research Intern Jobs in State College, PA

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Machine Learning Research Intern information

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$24.9K

$41.6K

$86.1K

How much do machine learning research intern jobs pay per year?

As of Aug 23, 2026, the average yearly pay for machine learning research intern in State College, PA is $41,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

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

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

What job categories do people searching Machine Learning Research Intern jobs in State College, PA look for?

The top searched job categories for Machine Learning Research Intern jobs in State College, PA are:

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

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

Infographic showing various Machine Learning Research Intern job openings in State College, PA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,647 per year, or $20 per hour.

Research and Development Engineer - System Sustainment

Penn State University

State College, PA • On-site

$140 - $265.70/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

232nd of 621 rated colleges and universities


Job description

POSITION SPECIFICS

We are searching for a highly analytical, systems-focused Research and Development Engineer to join the Applied Sustainment Technologies Division at the Applied Research Laboratory (ARL) at Penn State. Our division supports mission-critical research for the Navy and other federal sponsors, advancing data-driven decision tools, predictive models, and engineering solutions that enhance reliability, readiness, and operational performance. This role will lead the development of data science methods, predictive maintenance analytics, and engineering assessments with direct impact on ARL customers. ARL is an authorized DoD SkillBridge partner and welcomes transitioning service members to apply.

You will
  • Lead development of analytic methods including machine learning, anomaly detection, predictive maintenance models, and network or system-level analyses
  • Develop and evaluate reliability and failure models for complex naval or defense-related systems
  • Translate complex technical findings into clear, actionable recommendations for technical and executive audiences
  • Build, validate, and document data pipelines, analytic tools, dashboards, and modernization processes, including cloud-based environments (AWS/GCP/Azure)
  • Engage with cross-functional engineering teams to support system readiness assessments, configuration analysis, and engineering change evaluations
  • Contribute to research proposals, technical reports, and customer deliverables
  • Provide mentorship, technical guidance, and collaboration across multidisciplinary project teams
Additional responsibilities for higher-level roles
  • Lead major research thrusts, serve as principal investigator, and/or oversee integrated engineering programs
  • Develop strategic technical direction in data-driven reliability engineering and advanced analytics
Required Skills/Experience areas include
  • Past success solving complex analytical or engineering problems, using structured methodologies to reach effective, defendable solutions
  • Failure analysis, reliability engineering, or predictive analytics
  • Technical computing or analytics languages such as Python, R, SQL, or similar
  • Success in environments where various forms of communication and organizational skills were crucial to be effective
  • Experience collaborating in multi-disciplinary, team-oriented cultures
Preferred Skills/Experience
  • Cloud infrastructure (AWS, GCP, Azure), containerization, version control, or data engineering tools
  • Naval systems engineering, system readiness evaluation, or lifecycle maintenance analysis
  • Graduate degree in Computational Science, Engineering Management, Applied Data Science, or related fields
  • Current eligibility for access to classified information at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

If filled as R&D Engineer - Data Science (ARL) - Principal Professional, this position requires: Bachelor's Degree - Engineering or Science 19+ years of relevant experience Required Certifications: None

If filled as R&D Engineer - Data Science (ARL) - Senior Professional, this position requires: Bachelor's Degree - Engineering or Science 14+ years of relevant experience Required Certifications: None

ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).

FOR FURTHER INFORMATION

Visit our website at www.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.

SALARY & BENEFITS

The salary range for this position, including all possible grades, is $140,004.00 - $265,704.00. Salary Structure - Information on Penn State's salary structure Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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