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Machine Learning Engineer Intern Jobs in State College, PA

... 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 ...

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 ...

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

Research Assistants

University Park, PA · On-site

$18.75 - $26/hr

Strong programming skills in Python; * Familiarity with machine learning libraries or NLP tools (e.g., PyTorch, Transformers, LangChain) is a plus. Hours, wages, and anticipated periods of employment ...

Showing results 41-60

Machine Learning Engineer Intern information

See State College, PA salary details

$24.9K

$41.6K

$86.1K

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

As of Aug 12, 2026, the average yearly pay for machine learning engineer 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 do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

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:
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What cities near State College, PA are hiring for Machine Learning Engineer Intern jobs? Cities near State College, PA with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer 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.

Senior Lightning Scientist

AccuWeather Careers

State College, PA

Full-time

Re-posted 18 days ago


Job description

The Senior Lightning Scientist is a subject-matter expert responsible for advancing AccuWeather's lightning detection, analysis, and interpretation capabilities. This role combines deep scientific understanding of lightning physics with practical expertise in RF systems, sensor networks, and algorithm development. The Senior Lightning Scientist plays a critical role in improving lightning detection accuracy, developing new methodologies, guiding technical strategy, and collaborating across science, engineering, and product teams to deliver industry-leading lightning intelligence products.

Working closely with data science, hardware, and software engineering teams, this role drives innovation in lightning detection technologies, signal processing, and real-time analysis systems that support AccuWeather's operational, commercial, and public safety offerings.

KEY RESPONSIBILITIES

  • Serve as a technical and scientific authority on lightning physics, detection methodologies, and operational interpretation.
  • Lead the development, evaluation, and improvement of lightning detection algorithms using techniques such as TOA, TDOA, interferometry, and hybrid approaches.
  • Analyze RF signals across relevant frequency bands used in lightning detection, including waveform characterization, noise mitigation, and signal classification.
  • Collaborate with hardware and electrical engineering teams on sensor design, RF front-end considerations, antenna design, placement, and calibration strategies.
  • Develop and refine signal processing pipelines for real-time and post-processed lightning data.
  • Design, test, and validate algorithms for lightning geolocation, flash clustering, classification (e.g., CG vs IC), and quality control.
  • Evaluate network performance, detection efficiency, location accuracy, and timing precision using ground truth and statistical methods.
  • Contribute to the integration of lightning data into forecasting, nowcasting, severe weather detection, and machine learning systems.
  • Provide technical leadership, mentorship, and guidance to scientists and engineers working on lightning-related systems.
  • Document methodologies, assumptions, system limitations, and scientific findings for internal and external stakeholders.
  • Collaborate with product, operations, and research teams to translate scientific advances into scalable, customer-facing solutions.
  • Performs other duties as assigned.

QUALIFICATIONS

  • Advanced degree (PhD or MS with significant experience) in Atmospheric Science, Electrical Engineering, Physics, Geophysics, or a related field.
  • Deep understanding of lightning physics, electromagnetic emissions from lightning, and storm electrification processes.
  • Strong background in RF systems, signal processing, and spectral analysis.
  • Demonstrated experience with lightning detection techniques such as TOA, TDOA, interferometry, or related geolocation methods.
  • Proficiency in algorithm development and data analysis using Python, C++, or similar scientific computing environments.
  • Experience working with large-scale, real-time observational data systems.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to communicate complex scientific and technical concepts clearly to both technical and non-technical audiences

PREFERRED QUALIFICATIONS

  • Experience designing or working directly with lightning detection hardware, sensors, or ground-based networks.
  • Background in antenna theory, antenna design, and RF propagation effects.
  • Familiarity with FPGA, SDR, or embedded systems used in RF signal acquisition.
  • Experience with cloud-based data platforms and high-throughput data processing pipelines.
  • Published research or patents related to lightning detection, RF sensing, or atmospheric electricity.
  • Experience collaborating with operational forecasting or severe weather teams.
  • Familiarity with machine learning applications applied to lightning or RF signal classification.

ABOUT ACCUWEATHER

AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making.

Billions of people around the world rely on AccuWeather's proven Superior Accuracy™ across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones.

AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW® reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast's Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee.

AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally.

Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the "father of modern commercial meteorology." Myers, a leading creative thinker and visionary, has been called "the most accurate man in weather" by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur's Encyclopedia of Entrepreneurs.

COMMITMENT TO DIVERSITY & INCLUSION

AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.