Machine Learning Engineer
Tasks
- Build and maintain machine learning pipelines for scalability and reliability
- Collaborate with research scientists on generative modeling and representation learning
- Conduct experiments and evaluate models
- Deploy and adapt AI models across computing environments
- Develop train and optimize deep learning models for brain decoding and neuroscience applications
- Identify technical bottlenecks and improve workflows infrastructure and model performance
- Maintain software engineering automation code quality and reproducibility
Perks/Benefits
- Autonomy and ownership
- Career growth opportunities
- Flexible globally distributed work environment
- Fully remote work
- Global collaboration
Skills/Tech-stack
Accelerate | Deep learning | Diffusers | Generative AI | Hugging Face | 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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