Scientist Machine Learning

Future. Discover. Together. 

The Applied Machine Learning (AML) Group of the Artificial Intelligence Department is seeking a Machine Learning Engineer to support our scientific activities in the areas of AI, health, environment, and climate. Specifically, in the development of proof-of-concepts, demonstrators, and software. The AML working group constantly researches and develops innovative solutions that are used in current and future flagship projects. Be a part of our team and come on a journey of research and innovation!

What you will do

• Pre-processing of various datasets and development of ML models

• Testing, implementing, and benchmarking new research methods

• Developing dashboards to demonstrate our research results, particularly frontend and backend development

• Developing prototypes, as well as supporting larger software projects

• Collaborating on exciting projects with external partners and clients

• Presenting results at trade fairs, project meetings, and other occasions

The scientific work offers the possibility of a doctorate.

What you bring to the table

• Master's degree in computer science, mathematics, physics, electrical engineering, or similar fields

• Excellent programming skills and meticulous work approach when implementing, testing, and documenting algorithms

• Experience with frameworks such as PyTorch, Keras, Angular, Docker, MySQL, FastAPI

• Advanced knowledge in the field of Machine Learning, especially Deep Learning, LLM, and multi-modal ML

• Experience with developing competitive ML models using different data types, e.g., time series, images, or texts in the ML context for at least one of the topics: Health, weather, environmental research

• Experience and confidence in using Linux (Ubuntu) and Git in the terminal

• Solid knowledge in the area of DevOps (CI/CD pipelines and server management)

• Autonomy, independence, and initiative

• Teamwork skills and interest in interdisciplinary collaborations

What you can expect

• Attractive salary package according to TVöD with 30 days of vacation, pension plan (VBL), capital-forming benefits (VWL)

• Modern, excellently equipped workplace in the heart of Berlin

• Open and very cooperative working atmosphere in an international team

• Flexible working hours

• Opportunities for home office

• Extensive training, health, and sports offers

• Support for your desire to pursue a doctorate

• Various employee discounts and discounted BVG ticket

• Family offers (parent-child office, emergency care, leisure activities)

The position is initially limited to 2 years. An extension is explicitly desired.

The weekly working time is 39 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. 

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!
 

Mr Jackie Ma

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 

www.hhi.fraunhofer.de 

Requisition Number: 75912                Application Deadline: 10/31/2024