The purpose of this role is to investigate, apply and transfer state-of-the-art deep-learning methods to (yet) vaguely defined real-world challenges through applied research projects.

Your main responsibilities will be:

• Ideate solutions to complex industry spanning problems with early career-stage researchers and developers.

• Work across several projects and interact with partners to develop new machine learning solutions establishing industry standards.

• Research and prototype state-of-the-art deep-learning models combined with a keen sense of data-driven development.

• Uncover scalable, machine-learning enabled business opportunities within research projects.

• Understand requirements of code standards for research partners and deliver at excellence.

The ideal candidate is proficient in software engineering and the latest machine- and deep-learning technologies. In addition, you should also have relevant experience in at least one of the following technologies: CV, NLP, GNNs, reinforcement learning, causal inference.

You are a great fit for our team if this describes you:

• PhD or 4+ years of working experience in Machine Learning or related technical field

• Relevant programming skills in Python as well as sound data engineering practices and cloud computing experience.

• Relevant knowledge of deep learning frameworks, such as PyTorch, TensorFlow, Keras, Jax, etc.

• Relevant experience in leading and prioritizing technical and/or research projects.

• You understand the tradeoffs of fast coding to generate insights and sound engineering practices (version control, test-driven development, code reviews),  leveraging the best of both worlds. 

• Enjoy working with and mentoring early career-stage engineers and researchers.

• Fluency in English and basic German

Nice to have:

• Publications in established high impact journal/conference in the respective field of study

• Experience with one or more of the following cloud providers: Google Cloud Platform, AWS, Azure

• Experience working with partners of large public research consortia as funded by the BMWK, BMBF or EU

• We have a flexible work-from-home policy

• Brand new office situated on the AI Campus in Berlin

• We offer Visa Sponsorship

• Hardware allowance. We give you support to have all the equipment you would need to thrive on your job

• International Team: Within our current team we have more than 10 nationalities and counting

• We offer 50€ per employee per month that can be allocated as desired to one of the following: Mobility & transportation (RYDES), sport (Urban Sports Club membership) or Edenred (Groceries)

• Engaging Topics and Excellence: Merantix offers unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs

• Ethics: We are committed to developing ethical AI software

• Dynamic working culture: We hold weekly and monthly events around AI Innovation and Implementation. We have a very flat hierarchy, open 360° feedback, and flexible working hours

• Learning and Development. Annual learning and development budget to attend conferences or purchase educational resources to further develop additional skills