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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.
Requirements
- 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
Tasks
- 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.
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- 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.
Requirements
- 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
Tasks
- 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.
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- JAX
- PyTorch
- TensorFlow
- NumPy
- SciPy
- Pandas
About the Company
Isomorphic Labs
Industry
Pharmaceuticals
Description
Isomorphic Labs is a pioneering company that applies frontier AI to advance drug discovery and aims to solve all disease. The company combines interdisciplinary expertise in machine learning and drug discovery to develop innovative medicines.
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