Machine Learning Engineer
Tasks
- Collaborate on generative modeling initiatives
- Develop train optimize deep learning models
- Ensure scalability and reliability
- Identify technical bottlenecks and improve workflows
- Improve machine learning pipelines
- Maintain software engineering automation code quality reproducibility
- Support deployment of AI models
Perks/Benefits
- Career growth opportunities
- Continuous learning
- Flexible, distributed work environment
- Fully remote work
- Global collaboration opportunities
Skills/Tech-stack
Accelerate | Data Analysis | Deep learning | Diffusers | Distributed Systems | EEG | Experiment design | FMRI | GPU Computing | Generative AI | Hugging Face | Language Models | Large Language Models | MEG | Machine Learning | Machine Learning Pipelines | Model Evaluation | PyTorch | Python | Representation Learning | Reproducibility | 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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