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Intern Generative AI Research (f/m/x)

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BMW Group

1mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Munich

AI generated summary

  • You should be pursuing a degree in Computer Science or related field, familiar with ML frameworks (TensorFlow, PyTorch), and have experience with generative models, big data, and cloud platforms.
  • You will train and fine-tune generative AI models, preprocess datasets, collaborate with experts, and stay updated on technology trends to enhance intelligent user experiences in vehicles.

Requirements

  • Currently pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Familiarity with machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, Huggingface Transformer) and programming languages (e.g., Python).
  • Good understanding of generative models or experience with any transformer-based architectures.
  • Experience with multi-GPU training and parallel computing and in designing and implementing generative AI solutions.
  • Experience in working with big data technologies and tools and in working on cloud platforms.
  • Business-fluent English. German skills are an advantage.

Responsibilities

  • In this project, you will be part of training and developing transformer-based generative AI models to deliver intelligent user experiences within our vehicles.
  • You will implement and fine-tune various architectures to enhance the capabilities of these models.
  • Furthermore, you will help to manage and process large datasets necessary for training machine learning models, and apply preprocessing techniques to clean and prepare raw data for model training.
  • You will collaborate closely with experts across various business lines to identify, analyze, decompose algorithmically, and solve complex tasks related to the industrial application of advanced machine learning.
  • In addition, you will stay updated on the latest technology trends and their potential applications.
  • To address your analytical use cases, you will have access to a wide range of data sources.

FAQs

What is the earliest starting date for the internship?

The earliest starting date for the internship is from April 1, 2025.

How long does the internship last?

The duration of the internship is 6 months.

What are the working hours for the internship?

The working hours can be part-time or full-time.

What qualifications are required for this internship?

Candidates should be currently pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Are there specific programming skills required for this position?

Yes, candidates should have familiarity with machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, Huggingface Transformer) and programming languages, particularly Python.

Is prior experience with generative models necessary?

A good understanding of generative models or some experience with transformer-based architectures is required.

Will we have access to big data technologies and cloud platforms during the internship?

Yes, interns will have experience working with big data technologies and tools as well as cloud platforms.

Is knowledge of the German language beneficial for this role?

While business-fluent English is required, knowledge of German skills is considered an advantage.

What kind of mentoring and onboarding can interns expect?

Interns will receive comprehensive mentoring and onboarding to support their integration and development within the team.

Are there any benefits provided to interns during the internship?

Yes, the internship offers attractive remuneration, flexible working hours, digital offers & mobile working, and apartment offers for students (subject to availability in Munich), among other benefits.

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BMW Group

Automotive
Industry
1-10
Employees

Mission & Purpose

With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial and mobility services. The BMW Group production network comprises over 30 production sites worldwide; the company has a global sales network in more than 140 countries. In 2023, the BMW Group sold over 2.55 million passenger vehicles and more than 209,000 motorcycles worldwide. The profit before tax in the financial year 2023 was € 17.1 billion on revenues amounting to € 155.5 billion. As of 31 December 2023, the BMW Group had a workforce of 154,950 employees. The success of the BMW Group has always been based on long-term thinking and responsible action. The company set the course for the future at an early stage and consistently makes sustainability and efficient resource management central to its strategic direction, from the supply chain through production to the end of the use phase of all products.

Benefits

  • High Work-Life Balance

    Striking a healthy balance between work and personal life is important to us. It keeps us motivated and productive in the long term and thus contributes to our company's success. We support our employees in this aim: through flexible working time models, with care obligations towards dependents, assistance with child care and provision of services and facilities promoting fitness and health.

  • Paid Holiday

    With our paid holiday, we always have enough time to pursue our wanderlust. Whether we feel like visiting countries abroad or just exploring our homeland, there’s no reason to rush. From our balcony or the mountains to exotic beaches, with the amount of free time we can explore, relax, recharge our batteries and simply enjoy life wherever we are.

  • Flexible Working Time Models and Home Office.

    We give special priority to the needs of women and men who wish to devote more time to the family on a temporary basis and also to employees with care obligations towards dependents. Far beyond the legal requirements the BMW Group offers employees the possibility of working flexibly: e.g. the options range from working from home or flexitime days through non-working shifts.

  • Performance-Related and Above Average Pay.

    As performance is highly valued at the BMW Group, we offer our talents performance-related pay that far exceeds legal and collectively agreed requirements. And holiday pay makes every trip even more enjoyable, but that’s not all by far.

  • Employee Vehicle Programme.

    Discovering that unique go-kart feeling – or simply enjoying sheer driving pleasure: all our colleagues have the opportunity to drive their very own BMW or MINI on particularly attractive terms. This way, for many talents enjoying work already starts on the way to the office. With our vehicle configurator, we can create our dream car according to our own wishes and then buy it at an attractive discount – it’s also possible to finance or alternatively lease it. But that’s not all, as we can also benefit from special conditions on a wide range of used cars.

  • Health Management Programmes.

    We want to keep our talents in the best of health. We have our own company healthcare service, which includes preventative measures, stress management, nutritional advice and health training, such as a cardiac sports group. Our medical officers always have time for us: whenever we need medical advice, we can just drop in. We also provide medical screening, vaccinations as well as first-aid kits before business trips abroad and a lot more.