Senior Ai Researcher

**About us**
**Your mission**
As a Senior Researcher you will lead our research efforts in one of our areas of interest or develop your own. This entails constantly keeping an eye open for ideas that you think will play a leading role in the future, while at the same time developing your own applied research agenda and publishing your results.
You will also be involved in the scientifically related work conducted in the context of real world projects and match your research to our customer’s problems and our products. In addition, you will supervise and collaborate on the actual implementation of solutions. You will be responsible for reporting on findings, as well as ensuring the integrity, interpretability and quality of results. Beyond this you will work on surveys of and tutorials on recent advances at the intersection of your expertise and interests and the topics of partner and internal projects. In doing that, you will likely contribute to existing open source projects or create new ones.
**Your profile**
We are looking for someone who knows machine learning and statistics both from the theoretical and applied perspectives. You should be able to understand recent developments and combine them with your own ideas. You will summarize, extend and write about them, implement high quality, maintainable code, perform and interpret experiments on our cluster, communicate your results, and thereby make a significant impact both on researchers as well as practitioners. We found that people who can do this usually fit the following profile:
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Ph.D. in STEM with a solid mathematical background or equivalent industry experience
- Thorough understanding of essential statistics and machine learning concepts.
- Proficiency in at least one programming language, ideally Python or C++. Experience with other programming languages would be beneficial.
- Experience with standard software development practices and tools like version control, CI/CD, DevOps, ticketing systems and agile methodologies.
- In-depth knowledge of one particular domain in ML / data science / statistics. From Bayesian graphical models and causal inference to model interpretability or meta-learning for neural networks, you tell us about it and your research goals.
- Research experience, including published papers at relevant conferences and the ability to design and conduct your own research agenda.
- Good communication skills.
- Team player with a willingness to learn new things.
- Fluent English.

Nice to have:

- Experience in writing on technical topics for a general audience (e.g. blog posts, magazine articles).
- Experience contributing to open source projects.
- An understanding of how complex professional software projects are run.
- Experience with ETL pipelines, data cleaning, SQL / NoSQL databases.
- Conversational German.

**What we offer**
A highly qualified and motivated team of ~70 people is on a journey to change the rapidly evolving European AI Landscape. ~25 of us have a strong scientific, engineering or CS background.
- A multilingual and multinational team of researchers, engineers, educational experts and strategists
- An atmosphere that encourages you to think and experiment in new ways with software, hardware, and processes
- A highly visible initiative that helps you to build a large and high-level network of start-ups, partners, and tech companies
- Flexibility to choose / switch between our amazing office space Munich Urban Colab in Schwabing, Innovation Park AI in Heilbronn and remote work
- Pick your hardware setup
- Extended budget and time to visit important conferences, read papers and develop your skills with the team - potentially showcasing results at relevant events
- Access to the newest technology in the AI domain. We operate clusters with ML optimized systems such as Nvidia’s DGX or IBM Power9 servers, we work with pre-release software of our partners and test other novel hardware systems like FPGA accelerators or Franka Emika robots. You can also use all of this for your personal projects.
- Hottest topics of the next decade and freedom and trust to initiate your own activities
- Want to learn about robotics, autonomous drones or smart factories? All of this is happening at appliedAI
- Internal seminar in machine learning and computer science
- Access to the UnternehmerTUM MakerSpace for personal projects
- Qualitrain membership
- Free food, coffee, snacks, etc.
- (Optional) after work Fridays and monthly dinners

**Contact**
Juliane Haspel (Senior HR Business Partner)
appliedAI Institute for Europe gGmbH, Lichtenbergstraße 6, 85748 Garching bei München
Tel.: 089/
541 986 9825

**Job Types**: Full-time, Permanent