Machine Learning Engineer
Tasks
- Collaborate on generative modeling and representation learning
- Deploy and adapt AI models across computing environments
- Design experiments and evaluate models
- Develop scalable deep learning models for brain decoding
- Document technical work and support publications
- Identify bottlenecks and improve workflows and infrastructure
- Maintain machine learning pipelines for scalability and reliability
- Train and optimize deep learning models
Perks/Benefits
- Autonomy and ownership
- Career growth opportunities
- Continuous learning
- Flexible, distributed work environment
- Fully remote work
- Global collaboration
Skills/Tech-stack
Accelerate | Deep learning | Distributed Training | EEG | FMRI | GPU Computing | Generative AI | Hugging Face | MEG | Machine Learning | Machine Learning Pipelines | 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 | PhD
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