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Research Assistant Machine Learning Jobs in Pennsylvania

Research Assistant

Danville, PA · On-site

$22 - $30.25/hr

Weis Center for Research Shift: Days (United States of America) Scheduled Weekly Hours: 40 Worker ... LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for ...

Research Assistant

Danville, PA · On-site

$22 - $30.25/hr

Perform day-to-day research project activities such as recruitment database searches, mailings ... LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for ...

$39K - $49K/yr

... a research assistant (RA) to work up to 10 hours per week from April through December. We are ... Apply machine learning models to analyze data * Collaborate with faculty and graduate students to ...

Research Assistant

Danville, PA · On-site

$22 - $30.25/hr

Weis Center for Research Shift: Days (United States of America) Scheduled Weekly Hours: 40 Worker ... LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for ...

Research Assistant

Danville, PA · On-site

$22 - $30.25/hr

Perform day-to-day research project activities such as recruitment database searches, mailings ... LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

Showing results 41-60

Research Assistant Machine Learning information

See Pennsylvania salary details

$8

$21

$31

How much do research assistant machine learning jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for research assistant machine learning in Pennsylvania is $21.96, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $25.53 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

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

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Pennsylvania?

For Research Assistant Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:

What cities in Pennsylvania are hiring for Research Assistant Machine Learning jobs?

Cities in Pennsylvania with the most Research Assistant Machine Learning job openings:

Infographic showing various Research Assistant Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,681 per year, or $22 per hour.

Research Assistant Professor, Assistant Center Director

Altoona, PA • On-site

The Pennsylvania State University
Education • 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS

Research Assistant Professor, Assistant Center Director

Rail Center for Research Enhancing Short-line Transportation (Rail CREST)

Penn State Altoona

The Rail Center for Research Enhancing Short-line Transportation (Rail CREST) at Penn State Altoona invites applications for a Research Assistant Professor or open rank position to serve as Assistant Center Director. Rail CREST is a federally funded research center supported by the Federal Railroad Administration (FRA) through the CRISI program. The center focuses on developing affordable technologies, workforce development programs, and safety innovations for the U.S. short-line railroad industry.

The Assistant Center Director will play a key leadership role in supporting the strategic growth and daily operation of Rail CREST, working closely with the Center Director, partner universities, industry partners, and federal stakeholders. The successful candidate will help coordinate research activities across multiple institutions while contributing technically to projects focused on rail infrastructure monitoring, sensing technologies, data analytics, and intelligent transportation systems.

Responsibilities
  • Support the strategic planning and daily operation of the Rail CREST Center.

  • Coordinate research activities across multiple partner universities and industry collaborators.

  • Facilitate engagement with the Industrial Advisory Board, railroads, and federal stakeholders.

  • Assist with the development of new research proposals and technology transfer initiatives.

  • Lead and contribute to research projects related to rail infrastructure sensing, structural health monitoring, instrumentation systems, data analytics, and artificial intelligence applications in rail transportation.

  • Manage or oversee field deployments, laboratory testing, and instrumentation development.

  • Support workforce development and training programs associated with the center.

  • Teach occasional undergraduate or graduate courses within the Rail Transportation Engineering (RTE) program when needed.

  • Assist with industry-facing testing, demonstrations, and commercialization activities related to rail technologies.

  • Supervise research staff, graduate students, and project teams.

Required Qualifications
  • Ph.D. in Civil Engineering, Railroad Engineering, Mechanical Engineering, Electrical Engineering, or a closely related field.

  • Demonstrated research expertise in rail infrastructure, structural health monitoring, sensing systems, instrumentation, or transportation infrastructure analytics.

  • Experience working with data-driven technologies such as sensor networks, machine learning, or AI-enabled infrastructure monitoring.

  • Strong organizational and communication skills with the ability to coordinate multi-institutional research projects.

  • Ability to work effectively with industry partners, government agencies, and academic collaborators.

Preferred Qualifications
  • Experience with railroad infrastructure systems including track, bridges, or railway operations.

  • Experience deploying or managing field instrumentation systems or sensing networks.

  • Experience working with federally funded research programs (e.g., FRA, USDOT, NSF).

  • Leadership or project management experience within multi-institutional research initiatives.

  • Teaching experience in engineering programs.

  • Interest in technology transfer and industry collaboration.

About Rail CREST

Rail CREST is a national research center dedicated to enhancing the safety, efficiency, and sustainability of short-line railroads in the United States. The center focuses on developing affordable sensing technologies, intelligent infrastructure monitoring systems, and workforce training programs that directly support the needs of regional and short-line railroads. The center brings together multiple universities, industry partners, and railroad operators to advance applied research and technology deployment in the rail sector.

Appointment

This is a non-tenure-line 36-week research faculty position at the rank of Research Assistant Professor, or open rank, depending on qualifications and experience. The appointment is expected to be 12-month, renewable based on performance and funding availability.

Application

Applicants should submit:

  • Curriculum Vitae

  • Cover letter describing relevant experience and interest in the position

  • Contact information for three professional references

BACKGROUND CHECKS/CLEARANCES

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

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional wellbeing. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans. 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 ourBenefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral 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.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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