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We are seeking an experienced Machine Learning Engineer to join our team at Bioptimus, a pioneer in medical research using state-of-the-art machine learning algorithms.
About the RoleThis is an exceptional opportunity for a talented individual to drive the implementation and application of advanced machine learning methods in foundation models, representation learning, large language models, and generative AI. You will work with interdisciplinary teams to build foundation models of biology that unlock AI applications in biomedical innovation.
Key Responsibilities- Implement and deploy large-scale deep learning models in industrial environments
- Drive the development of advanced machine learning methods, particularly in foundation models, representation learning, and large language models
- Collaborate with teams to build and train neural networks for biomedical research
To succeed in this role, you should have:
- Demonstrated expertise in representation learning, large language models, and/or generative AI, including prior experience in implementing, training, and deploying large neural networks
- Excellent command of coding in Python, with a strong grasp of programming best practices
- MSc or PhD in Computer Science-related field or equivalent experience
- Experience with developing and profiling distributed model training on GPUs, with data and model parallelism
- Ability to modify model architecture for improved efficiency of training and inference
- Background in biological data analysis: proteins, bulk or single-cell omics, histopathology, etc.
As a member of our team, you can expect:
- A competitive salary range: €80,000 - €110,000 per year, depending on experience
- Opportunities to collaborate with experts in machine learning and biomedical research
- Flexible remote work arrangements with quarterly retreats in Paris
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