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Machine Learning Research Intern - Pittsburgh

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Bosch

Feb 21

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Pittsburgh

Requirements

  • Required Qualification:
  • Pursuing MS or 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.
  • Desired Qualification:
  • Experience with working on Machine Learning, or Deep Learning projects.
  • Established publication record in Machine Learning or Computer Vision or related fields.
  • Good coding practices, ability to write efficient and readable code.
  • Good writing and presentation skills.

Responsibilities

  • Design and development of novel deep learning algorithms, implementation and evaluation on public benchmarks and multi-modal Bosch data from application areas such as manufacturing, 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 deep learning methods.
  • Code contributions to our deep learning framework.
  • Publish at leading AI conferences, and ultimately shape the future of Bosch products and services.

FAQs

What is the primary focus of the Machine Learning Research Intern position in Pittsburgh?

The primary focus of this position is to develop new machine learning and deep learning algorithms for various real-world applications of AI, including areas such as foundation models, self-supervised learning, zero/few-shot learning, adversarial robustness, model generalization, domain adaptation, semantic segmentation, network compression, generative modeling, computer vision, deep probabilistic modeling, and physics-based machine learning.

What time periods are available for the internship?

The internship opportunities are available for the spring, summer, and fall of 2024.

Who is eligible to apply for this internship position?

Highly motivated students who are pursuing their studies and are available during the specified spring, summer, or fall of 2024 are eligible to apply for this internship.

What skills or knowledge should applicants possess?

While the job description does not specify exact skills, applicants should ideally have a background in machine learning and deep learning, as well as familiarity with the various topics mentioned, such as computer vision, generative modeling, and model generalization.

Is prior experience in machine learning necessary for this internship?

The job description does not explicitly state that prior experience is necessary, but having a foundational understanding or relevant coursework in machine learning and related fields would likely be beneficial for applicants.

What types of projects might interns work on?

Interns may work on projects related to developing algorithms for foundation models, adversarial robustness, domain adaptation, machine learning in computer vision, and other advanced AI applications mentioned in the job description.

How can I apply for the Machine Learning Research Intern position?

The application process details are not provided in the job description. Interested candidates should check the company's careers page for application instructions or reach out directly to the research team.

Will this internship be remote or in-person?

The job description does not specify whether the internship is remote or in-person; therefore, it is recommended to inquire directly with the company during the application process.

What is the expected outcome or goal of the internship?

The expected outcome includes contributing to the development of innovative machine learning algorithms and gaining hands-on experience in AI research processes and applications.

Is this internship paid?

The job description does not mention whether the internship is paid. It's advisable to ask about compensation during the application or interview process.

Bosch

Engineering & Construction
Industry
10,001+
Employees
1886
Founded Year

Mission & Purpose

The Bosch Group is a leading global supplier of technology and services. It employs roughly 421,300 associates worldwide (as of December 31, 2022). The company generated sales of 88.2 billion euros in 2022. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.” The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral since the first quarter of 2020. The basis for the company’s future growth is its innovative strength. At 136 locations across the globe, Bosch employs some 85,500 associates in research and development, of which nearly 44,000 are software engineers.