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Intern New Technologies - Visual Deep Generative Models (f/m/x)

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BMW Group

21d ago

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

AI generated summary

  • You must be enrolled in a Master's or advanced Bachelor’s in a related field, have machine learning experience, know Deep Generative Models, and be skilled in PyTorch, GPU computing, and GitHub.
  • You will develop and enhance Visual Deep Generative Models, investigate efficient mechanisms for Multi-View Image Generation, and contribute to research projects and publications in 3D Generative Models.

Requirements

  • Enrollment in Master Studies (or advanced phase of Bachelor studies) in Mathematics, Computer Science, Computational Engineering, or comparable program.
  • Knowledge and practical experience in machine learning and deep learning.
  • Familiarity with Deep Generative Model architectures like Diffusion Models.
  • Sophisticated experience with PyTorch and parallelized GPU-computing.
  • Experience in software development on Linux and version control with GitHub.
  • Ideally experience with video-generation models and 3D-reconstruction.
  • Fluent in spoken and written English (German optional).

Responsibilities

  • Gaining insights in the data-driven vehicle design process at BMW.
  • Developing and improving Visual Deep Generative Models for real-world engineering design applications.
  • Investigating compute-efficient mechanisms for conditioning and guidance of Multi-View Image Generation Models.
  • Contributing to a state-funded research project.
  • Contributing to a publication the field of 3D Generative Models.

FAQs

What is the duration of the internship?

The duration of the internship is 6 months.

When is the earliest starting date for the internship?

The earliest starting date for the internship is from 03.03.2025.

What are the working hours for this internship?

The working hours for this internship are full-time.

What educational background is required for this internship?

The internship requires enrollment in Master Studies (or an advanced phase of Bachelor studies) in Mathematics, Computer Science, Computational Engineering, or a comparable program.

What specific skills are preferred for candidates applying to this internship?

Preferred skills include knowledge and practical experience in machine learning and deep learning, familiarity with Deep Generative Model architectures like Diffusion Models, experience with PyTorch, parallelized GPU-computing, software development on Linux, version control with GitHub, and ideally experience with video-generation models and 3D-reconstruction.

Is knowledge of the German language required for this internship?

While fluency in spoken and written English is required, knowledge of German is optional.

What mentoring and support can interns expect during their internship?

Interns can expect comprehensive mentoring and onboarding, along with opportunities for personal and professional development.

Are there any benefits provided to interns?

Yes, benefits include flexible working hours, digital offers and mobile working, attractive remuneration, and potential apartment offers for students (subject to availability).

Is experience in software development beneficial for this position?

Yes, experience in software development on Linux and version control with GitHub is important for this position.

Can interns contribute to research projects during their internship?

Yes, interns will have the opportunity to contribute to a state-funded research project and potentially co-author a publication in the field of 3D Generative Models.

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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.