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 different data types, e.g., time series, images, or texts in the ML context
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)
Strong understanding of web technologies and experience in developing and deploying web applications
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
Requisition Number: 74094 Application Deadline: 07/31/2024