Dein persönlicher KI-Karriere-Agent
Research Scientist (Machine Learning)(m/w/x)
Developing novel AI architectures and applying algorithms for drug discovery at a frontier AI company focused on disease solutions. PhD or equivalent practical experience in AI research required, JAX framework experience preferred. Direct contribution to frontier AI for disease solutions.
Anforderungen
- PhD or equivalent practical experience
- Proven track record in machine learning
- Strong knowledge of linear algebra
- Experience using ML frameworks like JAX
- Passion for applying ML research
- Project supervision or management experience
- PhD in machine learning or computer science
- Relevant research experience in ML
- Experience in a scientific environment
- Experience with biological or chemical data
- Experience with real-world datasets
- Experience with ML on accelerators
- Experience in large scale deep learning
Aufgaben
- Contribute to research directions in machine learning.
- Apply ML algorithms to drug discovery.
- Identify and create novel ML techniques.
- Develop architectures and training algorithms for models.
- Analyze and tune experimental results.
- Implement and scale training and inference frameworks.
- Report and present research findings clearly.
- Collaborate with scientists and domain experts.
- Suggest and engage in team collaborations.
- Provide technical mentorship to the ML community.
- Support other ML research scientists.
- Lead and run ML research projects.
- Cultivate a diverse and inclusive research culture.
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- JAX
- PyTorch
- TensorFlow
- NumPy
- SciPy
- Pandas
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Research Scientist (Machine Learning)(m/w/x)
Developing novel AI architectures and applying algorithms for drug discovery at a frontier AI company focused on disease solutions. PhD or equivalent practical experience in AI research required, JAX framework experience preferred. Direct contribution to frontier AI for disease solutions.
Anforderungen
- PhD or equivalent practical experience
- Proven track record in machine learning
- Strong knowledge of linear algebra
- Experience using ML frameworks like JAX
- Passion for applying ML research
- Project supervision or management experience
- PhD in machine learning or computer science
- Relevant research experience in ML
- Experience in a scientific environment
- Experience with biological or chemical data
- Experience with real-world datasets
- Experience with ML on accelerators
- Experience in large scale deep learning
Aufgaben
- Contribute to research directions in machine learning.
- Apply ML algorithms to drug discovery.
- Identify and create novel ML techniques.
- Develop architectures and training algorithms for models.
- Analyze and tune experimental results.
- Implement and scale training and inference frameworks.
- Report and present research findings clearly.
- Collaborate with scientists and domain experts.
- Suggest and engage in team collaborations.
- Provide technical mentorship to the ML community.
- Support other ML research scientists.
- Lead and run ML research projects.
- Cultivate a diverse and inclusive research culture.
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- JAX
- PyTorch
- TensorFlow
- NumPy
- SciPy
- Pandas
Über das Unternehmen
Isomorphic Labs
Branche
Pharmaceuticals
Beschreibung
The company is applying frontier AI to unlock deeper scientific insights and accelerate drug discovery.
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