Company
Merck KGaA, Darmstadt, Germany
Company Website
Info
Full/ Part Time
(Senior) Machine Learning Platform Engineer (all genders)

Work Your Magic with us!

 

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That’s why we are always looking for curious minds that see themselves imagining the unimaginable with us.

 

Your role:

We are seeking a Senior Machine Learning Platform Engineer to join our Scientific Computing team. You will be responsible for optimizing and maintaining our machine learning infrastructure on our high-performance computing cluster, enabling and accelerating Machine Learning (ML) workloads across R&D. In your role, you will design and implement ML infrastructure solutions for our HPC environment. You will optimize ML frameworks and applications for high-performance computing and be responsible for the implementation and tuning of GPU-accelerated computing solutions. Additionally, you will manage and deploy ML software packages and frameworks while collaborating with data scientists to improve their ML workflows. You will provide expert guidance and training on ML infrastructure best practices and contribute to architectural decisions for our ML infrastructure.

 

Scientific Computing is part of our Digital Chemistry organization within the Group Science and Technology Office. Our team leads oneHPC, a strategic initiative to modernize the high-performance computing environment at our company. This project consolidates and unifies our HPC infrastructure to accelerate scientific breakthroughs in drug discovery, materials science, and advanced machine learning applications. As part of the Group Digital Innovation department, our team takes a user-centric approach to building and operating this next-generation computing platform that will empower researchers and scientists across Life Science, Healthcare, and Electronics businesses. We offer professionals the opportunity to boost their career, working in an interdisciplinary high-performance team that is focused on innovation in the intersection of business, chemistry and digital technology. This includes the opportunity to expand your skills in scientific computing, HPC infrastructure, and business dimensions. To work with cutting-edge HPC technologies and scientific applications, intellectually challenge and solve complex technical problems and work in a stimulating environment in a very diverse, high caliber department.

 

This position will be based either in Boston (USA), or in Darmstadt in the Rhine-Main area (Germany).

 

Who you are:

Degree in Computer Science, Computational Science, or a related field; a PhD in a computational field is optional
Strong expertise in GPU computing and optimization (CUDA, cuDNN)
Experience with ML frameworks (PyTorch, TensorFlow) and their distributed computing capabilities; nice to have: experience with MLOps practices and tools
Proven experience with high-speed interconnects (InfiniBand) and parallel computing (MPI)
Strong scripting and programming skills (Python, Bash)
Proficiency with HPC workload managers (e.g. Slurm, Kubernetes); expertise in containerization technologies is a plus
Excellent communication skills and ability to work in an international environment
Experience providing technical training and user support
Nice to have: Knowledge of model optimization techniques (quantization, pruning)
Nice to have: Cloud computing experience, particularly with AWS

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of our diverse team!