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Senior Machine Learning Engineer(m/w/x)
Building and optimizing ML models for scientific insights, developing scalable software and experiment tools for thousands of accelerators. Strong experience with large-scale ML model development and modern ML frameworks required. Focus on frontier AI for disease solutions.
Requirements
- Strong experience with large-scale ML model development
- Extensive programming experience (mainstream languages, strong Python)
- Experience with modern ML frameworks (JAX, PyTorch, or TensorFlow)
- Experience with full ML research and development lifecycle
- Experience partnering with research/product teams for ML model prototyping/production
- Strong software engineering experience with design/architecture skills
- Strong understanding of ML theory and applications
- Strong understanding of data structures and algorithms
- Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience
- Interest in chemistry and biology
- Experience with biomedical data
- Knowledge of pharmaceutical industry (ideally drug discovery focus)
- Experience developing user-facing production code
Tasks
- Collaborate with ML Research, Drug Design, and Data Engineering teams.
- Build and optimize cutting-edge ML models at scale.
- Build a world-class ML drug design research environment.
- Develop scalable software and libraries for ML research.
- Develop ML experiment tools for thousands of accelerators.
- Maximize model performance, scalability, and robustness.
- Ensure models are production-ready on our computational platform.
- Create novel drug discovery tools with domain experts.
- Own development from rapid prototyping to production code.
- Collaborate to understand feature requirements and user feedback.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JAX
- PyTorch
- TensorFlow
Benefits
Other Benefits
- Disability accommodation
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- Isomorphic LabsFull-timeOn-siteSeniorLausanne
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Senior Machine Learning Engineer(m/w/x)
Building and optimizing ML models for scientific insights, developing scalable software and experiment tools for thousands of accelerators. Strong experience with large-scale ML model development and modern ML frameworks required. Focus on frontier AI for disease solutions.
Requirements
- Strong experience with large-scale ML model development
- Extensive programming experience (mainstream languages, strong Python)
- Experience with modern ML frameworks (JAX, PyTorch, or TensorFlow)
- Experience with full ML research and development lifecycle
- Experience partnering with research/product teams for ML model prototyping/production
- Strong software engineering experience with design/architecture skills
- Strong understanding of ML theory and applications
- Strong understanding of data structures and algorithms
- Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience
- Interest in chemistry and biology
- Experience with biomedical data
- Knowledge of pharmaceutical industry (ideally drug discovery focus)
- Experience developing user-facing production code
Tasks
- Collaborate with ML Research, Drug Design, and Data Engineering teams.
- Build and optimize cutting-edge ML models at scale.
- Build a world-class ML drug design research environment.
- Develop scalable software and libraries for ML research.
- Develop ML experiment tools for thousands of accelerators.
- Maximize model performance, scalability, and robustness.
- Ensure models are production-ready on our computational platform.
- Create novel drug discovery tools with domain experts.
- Own development from rapid prototyping to production code.
- Collaborate to understand feature requirements and user feedback.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JAX
- PyTorch
- TensorFlow
Benefits
Other Benefits
- Disability accommodation
About the Company
Isomorphic Labs
Industry
Pharmaceuticals
Description
The company is applying frontier AI to unlock deeper scientific insights and accelerate drug discovery.
Not a perfect match?
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