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Internship Deep Learning Jobs in Pennsylvania (NOW HIRING)

... internship opportunities. ARL/Penn State's purpose is to develop innovative solutions to ... deep learning/reinforcement learning) is desired. Experience with MATLAB, C/C++, and/or Python is ...

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Internship Deep Learning information

What is an internship in deep learning?

An internship in deep learning is a temporary position, typically offered to students or recent graduates, where individuals gain practical experience working on projects involving neural networks, machine learning algorithms, and AI applications. Interns often assist with data preparation, model training, evaluation, and sometimes contribute to research or development of deep learning solutions. This role helps interns develop technical skills, gain exposure to real-world problems, and build a foundation for a career in artificial intelligence or related fields.

What types of projects or tasks can I expect to work on during a deep learning internship?

As a Deep Learning intern, you can typically expect to work on a variety of hands-on projects such as data preprocessing, model development, and performance evaluation. You may contribute to building and testing neural networks, experimenting with architectures like CNNs or RNNs, and assisting in preparing datasets for training. Collaboration with data scientists, engineers, and other interns is common, providing opportunities to learn best practices in model deployment and documentation. This role offers a valuable chance to gain practical experience in applying theoretical knowledge to real-world problems.

What are the key skills and qualifications needed to thrive in a deep learning internship, and why are they important?

To thrive in a Deep Learning Internship, you need a strong foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving skills, curiosity, and effective communication help interns stand out when working on complex projects and collaborating with teams. These skills and qualities are crucial for efficiently developing, testing, and explaining deep learning models in a fast-evolving field.

What is the difference between Internship Deep Learning vs Data Science Intern?

AspectInternship Deep LearningData Science Intern
Required SkillsMachine learning, neural networks, programming (Python, TensorFlow)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch-focused, AI/ML teams, tech companiesBusiness analytics, data analysis teams, various industries
Common Employer UsageTech firms, AI startups, research labsConsulting firms, tech companies, finance, healthcare

Internship Deep Learning roles focus on developing neural networks and AI models, often in research or tech environments. Data Science Internships involve analyzing data, creating insights, and supporting decision-making across diverse industries. Both internships require programming skills, but Deep Learning emphasizes AI-specific knowledge, while Data Science covers broader data analysis skills.

What are the most commonly searched types of Deep Learning jobs in Pennsylvania?

The most popular types of Deep Learning jobs in Pennsylvania are:

What job categories do people searching Internship Deep Learning jobs in Pennsylvania look for?

The top searched job categories for Internship Deep Learning jobs in Pennsylvania are:

AI Security Research Intern

Bosch Group

Pittsburgh, PA

Full-time

Posted 6 days ago


Bosch rating

7.4

Company rating: 7.4 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

290th of 495 rated machine equipment manufacturers


Job description

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group, a company with over 90 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America provides technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

The Bosch Research and Technology Center in Pittsburgh, PA is focused on the research and development of cutting-edge AI and sensing technologies that will shape the future of the company's products. This position is part of an ambitious effort to design and develop intelligent multi-modal sensing at the intersection of deep learning and signal processing, with diverse application domains ranging from physical security to intelligent and connected vehicles.

    Job Description

    We are looking for highly motivated students (fall 2026) to join our research team in developing new deep learning/AI algorithms for various real-world applications of AI, including but not limited to:

    • large language model, vision language model, 
    • AI efficiency, and
    • security of agentic AI with emphasis on formal modeling and formal verification approaches 

     This internship role will focus on the following responsibilities:

    • Design, development and implementation of novel deep learning algorithms targeted towards scalable and verifiable data-curation and auto-labeling on public benchmarks and multi-modal Bosch data from application areas such as automated driving and robotics
    • Technical discussions with the research team towards creation of new ideas and improve upon the existing solutions.
    • Clean, efficient, and well-documented implementation of new AI methods.
    • Code contributions to our deep learning framework.
    • Publish at leading AI conferences, and ultimately shape the future of Bosch products and services.
    Qualifications

    Required Qualification:

    • Pursuing PhD degree in Computer Science / Engineering, Data Science, Electrical Engineering, or Mathematics.
    • Strong foundation and broad knowledge of Machine Learning algorithms and principles.
    • Programming experience in Python + PyTorch.
    • Excellent communication skills.
    • Demonstrated security expertise via publications and/or patent applications

    Desired Qualification:

    • Experience with working on Machine Learning, or Deep Learning projects and Security technologies
    • Established publication record in Machine Learning and Security or related fields.
    • Good coding practices, ability to write efficient and readable code.
    • Good writing and presentation skills.
    Additional Information

    Equal Opportunity Employer, including disability / veterans.

    *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 


    What Bosch employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom


    Bosch logo

    About Bosch

    Sourced by ZipRecruiter

    Bosch is a renowned multinational company based in Farmington Hills, Michigan. Associated with the industrial technology, consumer goods, and building technology sectors, Bosch is an iconic name in the global market. In addition to its high-quality product roster, which is chiefly characterized by home appliances, power tools, automotive parts, and smart home items, it offers unparalleled services in the realms of software and business process outsourcing. Founded by Robert Bosch in Stuttgart, Germany in 1886, the company has stayed true to its core values of superior quality and innovation.

    Industry

    Electrical equipment, appliance, and component manufacturing

    Company size

    10,000+ Employees

    Headquarters location

    Farmington Hills, MI, US