Machine Learning Engineer
Tasks
- Collaborate on generative modeling and representation learning
- Deploy and adapt AI models across computing environments
- Design experiments and evaluate models scientifically
- Develop train and optimize deep learning models for brain decoding
- Identify bottlenecks and improve workflows infrastructure and model performance
- Improve and maintain machine learning pipelines for scalability and reliability
- Maintain software engineering automation and code quality
Perks/Benefits
- Autonomy and ownership
- Career growth
- Continuous learning
- Flexible work environment
- Fully remote
- Global collaboration opportunities
- Transparency
Skills/Tech-stack
Accelerate | Data Pipelines | Deep learning | Diffusers | Distributed Systems | EEG | FMR | GPU Computing | Generative AI | Hugging Face | Language Models | Large Language Models | MEG | Machine Learning | PyTorch | Python | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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