Machine Learning Engineer
Tasks
- Collaborate with research scientists on generative modeling
- Conduct experiments and hypothesis testing
- Deploy and adapt AI models across computing environments
- Develop train and optimize deep learning models for brain decoding
- Identify technical bottlenecks and improve workflows
- Improve machine learning pipelines for scalability and reliability
- Maintain software engineering automation and code quality
Perks/Benefits
- Autonomy and ownership
- Career growth opportunities
- Continuous learning opportunities
- Flexible globally distributed work environment
- Fully remote work environment
- Global collaboration opportunities
Skills/Tech-stack
Data Analysis | Deep learning | Diffusers | Experiment design | GPU Computing | Generative Models | Hugging Face | Language Models | Large Language Models | Machine Learning | Machine Learning Pipelines | Model Evaluation | PyTorch | Python | Representation Learning | 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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