(Senior) Machine Learning Platform Engineer (all genders)
Merck Group
Datum: vor 5 Tagen
Stadt: Darmstadt, Hesse
Vertragsart: Ganztags
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
Apply now and become a part of our diverse team!
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
Apply now and become a part of our diverse team!
Wie bewerben
Um sich für diesen Job zu bewerben, müssen Sie sich auf unserer Website autorisiert. Wenn Sie noch kein Konto haben, registrieren Sie sich bitte.
Lebenslauf veröffentlichenÄhnliche Stellenangebote
Senior General Accountant (m/w/d)
ACCA Careers,
Darmstadt, Hesse
vor 1 Tag
Im Auftrag unseres Mandanten, den Weltmarktführer im Bereich der Ultradruck-Wasserstrahltechnologie, suchen wir einen Senior General Accountant (m/w/d) für den Unternehmensstandort in Darmstadt.KundendetailsUnser Kunde ist ein internationales Unternehmen mit über 50 Jahren Erfahrung und mehr als 15.000 installierten Wasserstrahl- und Abrasivwasserstrahlanlagen. Als globaler Marktführer in der Entwicklung, Herstellung und dem Vertrieb von Ultrahochdruck-Wasserstrahltechnologie (UHP) werden Maßstäbe gesetzt.StellenbeschreibungErfassen von Buchungssätzen gemäß HGB...
Account Executive (m/w/d)
etalytics,
Darmstadt, Hesse
vor 5 Tagen
Bist du bereit, dein Vertriebstalent in einem innovativen Umfeld einzusetzen? Bei der etalytics GmbH, einem spannenden KI- und Energie-Start-up in Darmstadt, suchen wir einen motivierten Account Executive (m/w/d).Als Teil unseres dynamischen Teams wirst du daran arbeiten, Unternehmen mit unseren datengetriebenen, KI-gestützten Lösungen dabei zu unterstützen, ihren Energieverbrauch zu senken und nachhaltiger zu wirtschaften. Mit Hilfe unserer Plattform gelingt es uns,...
Niederlassungsleiter (m/w/d)
Trescal,
Darmstadt, Hesse
vor 2 Wochen
Kennen Sie den Drang, sich neuen spannenden beruflichen Herausforderungen stellen zu wollen? Wollen Sie so richtig durchstarten und ihre beruflichen Erfahrungen uns und unseren Kunden beweisen? Dann nutzen Sie Ihre Chance mit einer Bewerbung an uns!Trescal ist ein weltweit operierender, herstellerunabhängiger Dienstleister für Kalibrierung und Gerätemanagement mit Hauptsitz in Paris. Mit unseren Niederlassungen in 30 Ländern erwirtschaften unsere über 5.000...