Machine Learning (ML) Bioengineer
Tasks
- Analyze data and apply advanced analysis methodologies
- Collaborate with experimentalists and process large datasets
- Deliver briefings and presentations
- Design train and evaluate machine learning methods
- Develop deep learning models and algorithms
- Develop future research directions and proposals
- Develop implement evaluate computational frameworks and models
- Document research through presentations and peer reviewed publications
- Lead project milestones and maintain quality standards
- Mentor and guide team members
- Represent organization as primary technical contact
- Support capability development for technical problem solving
Perks/Benefits
- 401k
- Education reimbursement program
- Flexible schedule
- Hybrid work schedule
- Relocation assistance
- Work from home days
Skills/Tech-stack
Active Learning | Bioinformatics | Data Analysis | Deep learning | Distributed Training | Few-Shot Learning | Few-shot | GPU Programming | GPU Training | Genome Language Models | HPC | High Performance | High-Performance Computing | Language Models | Language Processing | Machine Learning | Model Evaluation | Multi-GPU | Multi-GPU Training | Multimodal Learning | Natural Language | Natural Language Processing | Optimization | Performance Computing | Protein Language Models | PyTorch | TensorFlow | Transformer Models | Unsupervised Learning
Education
Regions
Countries
States
Cities
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