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
- Document technical work and support publications
- Identify bottlenecks and optimize workflows and infrastructure
- Improve automation code quality and reproducibility
- Maintain machine learning pipelines for scalability and reliability
Perks/Benefits
- Autonomy and ownership
- Career growth opportunities
- Continuous learning culture
- Flexible globally distributed work environment
- Fully remote work
- Global collaboration opportunities
Skills/Tech-stack
Accelerator | Deep learning | Diffusers | EEG | Experiment design | FMRI | GPU Computing | Generative Modeling | Hugging Face | Language Models | Large Language Models | MEG | 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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