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Software Engineer, Data Engineering(m/w/x)
Developing ML research platforms and MLOps components for AI-driven drug discovery. Extensive enterprise programming experience with Python, Java, C++, or Go required. Focus on frontier AI for scientific insights in drug discovery.
Anforderungen
- Strong software engineering experience with design/architecture skills
- Extensive enterprise programming experience with Python, Java, C++, or Go
- Experience with Kubernetes
- Experience building secure/scalable cloud platforms/products
- Ability to work in multi-disciplinary teams/environments
- Adaptability and willingness to work across domains/tech stack
- Ongoing career progression and passion for learning
- MSc in computer science or equivalent experience
- Expertise in Python
- Experience managing scientific/experimental wet labs data in pharma
- Experience building backend systems for web applications
- Experience designing/implementing/maintaining relational data models with Python
- Experience developing frontend applications in scientific context
- Experience building/optimizing/productionizing large-scale deep learning models
- Hands-on cloud engineering experience, preferably GCP
- Hands-on experience optimizing hardware accelerators
- Experience with low-level hardware specific optimization for deep learning
- Experience with life sciences data (bioinformatics, computational chemistry, biomedical research)
Aufgaben
- Ingest, manage, and serve scientific data
- Engineer backend and fullstack for scientific applications
- Engineer backend and fullstack for data management applications
- Develop a high-velocity, reliable ML research platform
- Build MLOps components for research-to-production model transfer
- Optimize low-level performance for ML models and infrastructure
- Optimize compute resources and accelerators for large-scale ML
- Leverage compute resources and accelerators for large-scale ML
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Java
- C++
- Go
- Kubernetes
- Django
- SQLAlchemy
- Pydantic
- PostgreSQL
- GCP
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- Isomorphic LabsVollzeitmit HomeofficeSeniorLausanne
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Software Engineer, Data Engineering(m/w/x)
Developing ML research platforms and MLOps components for AI-driven drug discovery. Extensive enterprise programming experience with Python, Java, C++, or Go required. Focus on frontier AI for scientific insights in drug discovery.
Anforderungen
- Strong software engineering experience with design/architecture skills
- Extensive enterprise programming experience with Python, Java, C++, or Go
- Experience with Kubernetes
- Experience building secure/scalable cloud platforms/products
- Ability to work in multi-disciplinary teams/environments
- Adaptability and willingness to work across domains/tech stack
- Ongoing career progression and passion for learning
- MSc in computer science or equivalent experience
- Expertise in Python
- Experience managing scientific/experimental wet labs data in pharma
- Experience building backend systems for web applications
- Experience designing/implementing/maintaining relational data models with Python
- Experience developing frontend applications in scientific context
- Experience building/optimizing/productionizing large-scale deep learning models
- Hands-on cloud engineering experience, preferably GCP
- Hands-on experience optimizing hardware accelerators
- Experience with low-level hardware specific optimization for deep learning
- Experience with life sciences data (bioinformatics, computational chemistry, biomedical research)
Aufgaben
- Ingest, manage, and serve scientific data
- Engineer backend and fullstack for scientific applications
- Engineer backend and fullstack for data management applications
- Develop a high-velocity, reliable ML research platform
- Build MLOps components for research-to-production model transfer
- Optimize low-level performance for ML models and infrastructure
- Optimize compute resources and accelerators for large-scale ML
- Leverage compute resources and accelerators for large-scale ML
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Java
- C++
- Go
- Kubernetes
- Django
- SQLAlchemy
- Pydantic
- PostgreSQL
- GCP
Über das Unternehmen
Isomorphic Labs
Branche
Pharmaceuticals
Beschreibung
The company is applying frontier AI to unlock deeper scientific insights and accelerate drug discovery.
Noch nicht perfekt?
- Isomorphic Labs
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