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Machine Learning Engineer Jobs in State College, PA

Statics Tutor

State College, PA · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Working in a growing business that encourages learning, curiosity, and respectful challenge ... As a Transducer Engineer you must be able to : * Design and develop Ultrasound transducer and ...

... learning and development, and flourishes with success, we invite you to be a part of building our ... Works independently or with the plant engineer on special machine projects or breakdowns and ...

... learning and development, and flourishes with success, we invite you to be a part of building our ... Works independently or with the plant engineer on special machine projects or breakdowns and ...

Showing results 41-60

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.

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:

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.

Open Rank Tenure-Track Faculty in Industrial Engineering

Penn State University

University Park, PA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities


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, see Notice to Out of State Applicants.
POSITION SPECIFICS
The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering (IME) in the College of Engineering at The Pennsylvania State University, University Park, PA, is pleased to announce a search for one outstanding tenure track faculty position in the area of Operations Research (OR). This position will be filled at the rank of Assistant, Associate or Full Professor, depending on the successful candidate's qualifications. Candidates for Assistant Professor must have demonstrated ability as a teacher or research worker and must have shown definite evidence of growth in scholarly or professional achievement. The Associate Professor should possess the same qualifications as the Assistant Professor but must also provide evidence of an established reputation in scholarly or professional achievement. The Professor should possess the same qualifications as the Associate Professor but must also provide evidence of a substantial record of advanced research and/or creative work, and of leadership in their field of specialization.
The Operations Research (OR) area is foundational to the IME Department at Penn State. Roughly two-thirds of our current PhD students are in the area of OR and related applications. We welcome candidates who can build a strong methodological research base in areas of Operations Research, including optimization, stochastics, simulation, machine learning and artificial intelligence.
Applicants at all ranks must have a Ph.D. in Industrial Engineering, Operations Research, or closely related discipline (or near completion of their doctoral studies) with demonstrated research potential by the appointment date. They must also possess excellent verbal and written communication skills. Candidates are expected to teach undergraduate and graduate courses, establish and lead an innovative research program, supervise graduate students, pursue external funding opportunities, and provide service to the University. The anticipated start date for this faculty position is August 2026.
About the Department:
The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at Penn State was founded in 1908 as the first industrial engineering program in the world. Our department has a history of excellence in educating the next generation of industrial engineers while providing new solutions for industry through innovative research, interdisciplinary projects, and hands-on experience in our state-of-the-art facilities.
With approximately 30 faculty members, 10 support staff, 400 undergraduate students, and 200 graduate students, we are a diverse department with research interests in many areas including: additive manufacturing processes, human factors in transportation and healthcare, supply chain management, service systems engineering, and healthcare systems engineering-just to name a few.
We offer the B.S. degree and graduate degrees (Master of Science, Master of Engineering, and Doctorate) in industrial engineering as well as dual-graduate degrees in industrial engineering and operations research. Both our undergraduate and graduate programs consistently rank highly in the U.S. News & World Report surveys, thanks in large part to our world-class faculty, the students they mentor, and our excellent support staff.
Applicants should submit an online application including a cover letter, a Curriculum Vitae, a summary of research and teaching (no more than 5 pages), a statement on proposed contributions to the Penn State Values (https://universityethics.psu.edu/penn-state-values) and a list of 3-5 professional references combined as one PDF file not to exceed 5MB, due to system limitations. The summary should contain plans to establish a research program and their vision for collaborating within the department as well as across Penn State. Additionally, the summary should articulate the applicant's interest in supporting our graduate and undergraduate programs through teaching and mentoring students.
Early applications are encouraged, as consideration will begin once applications are received. This requisition will remain open until the position is filled.
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 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.
The Pennsylvania State University 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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