AI Research Intern in München bei INTEL

Job Description

Join Intel and build a better tomorrow!

We create world-changing technology that improves the life of every person on the planet every day in ways that you probably don’t even see. We have big ambitions, and a passion to work with others and address world challenges no one can tackle alone. We would you love you to be a part of this!

Intel Emergent AI Research Lab is creating the next generation of AI systems, pushing the boundaries of research and technology to produce a positive impact on society.

You have now the opportunity to join our world-class team of international researchers and engineers, working together to unleash the power of AI at scale. Our lab is currently working on multiple research problems combining ideas from multiple domains, including Virtual Worlds/Simulation, Machine Learning, Computer Graphics, and Computer Vision.

Our research on Virtual Worlds and synthetic data generation will redefine the way AI models are built and deployed in the near future, directly benefiting the fields of robotics, and autonomous driving, among many others.

We are looking for researchers who are passionate about one or several of the topics below:

• AI approaches to create photorealistic 3D content from images/videos (e.g., NERF-like techniques, Diffusion models, etc.)

• Generative methods to boost photorealism in computer graphics Differentiable and neural rendering Leveraging virtual worlds and simulation as an engine to build new AI solutions Probabilistic programming and its application to generating procedural contents Domain adaptation, and transfer learning from Virtual World Simulation.

• You will be responsible for conceiving, researching, prototyping, and publishing new techniques in one of the domains listed above.

• You are expected to have a strong knowledge of mathematics, algorithmic techniques, and machine learning.

• You will also need to have a comprehensive understanding of the state of the art and to be a regular contributor to top scientific venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, SIGGRAPH).

• The successful candidate will also possess strong communication skills and a team-oriented mindset.

What do we offer?

• A collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best.

• Competitive pay

• Diverse and inclusive environment (read more about it here)

• Being a part of a socially and ecologically responsible company (read more about it here).

• Dedicated training for you during your first weeks at the company to make your transition into work easier and a personal buddy to help you build your network, answer any questions and integrate you into your position.

• Opportunities for professional development – wide library of online trainings and learning platforms, support and guidance from your team and manager, and different assignment programs.

• The possibility to build a lifelong career at Intel.

We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today.

Qualifications

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through schoolwork and/or classes and/or project work and/or internships and/or military training and/or work experience.

Please note that the student needs to be enrolled for the full duration of the student employment.

Minimum qualifications:

• The candidate must be pursuing a Ph.D. degree or Master's degree in Computer Science, Mathematics, Electrical Engineering, or similar technical areas

• 1 publication in first-tier highly selective international conferences such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, or SIGGRAPH

• 2+ years of experience in at least one of the following areas: Machine Learning, Computer Vision, Computer Graphics, Simulation

Preferred qualifications:

• Software engineering experience demonstrated through publicly available software systems

• 2+ publications in first-tier highly selective international conferences such as CVPR ICCV ECCV ICML NeurIPS ICLR or SIGGRAPH

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