Senior Machine Learning Researcher (m/f/d)

What we do

Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through publicly funded research projects as well as B2B solutions. We work across several domains including manufacturing, the public sector, healthcare, and more, and transform businesses as an external machine learning department using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions.

Your role

As a Senior Machine Learning Researcher, you will bring cutting-edge deep learning methods from research into real-world applications, keeping up with the latest developments in academia.

Your main responsibilities will be:

• Develop, apply, and transfer state-of-the-art deep-learning solutions to open-ended real-world challenges within a team of machine learning researchers, project managers, as well as engineers.
• Shape our research mission, driven by our internal research interests as well as problems arising in our client and engineering projects.
• Efficiently deliver results across publicly funded research projects and represent our interests towards the consortium partners.
• Take an active role in shaping our project portfolio by contributing to our acquisition efforts.
• Apply and develop coding standards and best practices for scientific experimentation to deliver at excellence.
• Co-author and present papers at top-tier machine learning conferences such as NeurIPS, ICML, or ICLR.

Your profile

The ideal candidate is an experienced applied machine learning researcher, proficient in software engineering and the latest deep-learning technologies.

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

• PhD or 5+ years of research experience in machine learning or a related technical field.
• Strong analytical, problem-solving, and communication skills.
• Proven record of publications in top-tier journals or conferences in your respective field of study.
• Passionate about working with a highly motivated team of experienced machine learning researchers as well as mentoring early career-stage researchers.
• Strong skills in Python programming and data engineering.
• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, Keras, or Jax.
• Experience with leading and prioritizing technical and/or research projects.
• Leverage the tradeoff between rapid prototyping and best engineering practices (reproducibility, version control, code reviews, etc.).
• Fluency in English and basic knowledge of German.

Nice to have:

• Experience with one or more of the following cloud providers: Google Cloud Platform, AWS, Azure.
• Hands-on experience with distributed computing, experiment tracking tools, and orchestration frameworks such as Ray, Weights & Biases, and Kubernetes.
• Working experience with partners in large public research consortia, e.g., funded by the DFG, BMWK, BMBF, or the EU

What we offer

• Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs.
• International Team: We are a dynamic and international team.
• We offer Visa Sponsorship.
• Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation.
• Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy as well as working hours.
• AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team.
• Brand new office space: Bright and open office situated on the AI Campus in Berlin.
• Hardware allowance: We give you support to have all the equipment you would need to thrive on your job.
• Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club) or groceries (Edenred)