Research Development Software Engineer - Toronto
- Toronto, ON, Canada
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Job details
- Posting language
- English
Original job description
Research Development Software Engineer at Skyfall AI
Job Overview:
Skyfall AI is seeking a Research Software Development Engineer (RSDE) to join our team to work on our journey towards an autonomous enterprise. We are looking for strong engineers who have hands-on experience in areas such as pre and post training of language models, reinforcement learning with language models and / or simulated environments.
RSDE Responsibilities:
Develop tools and infrastructure for training models in interactive environments
Implement new methods to push the state of the art in language modeling, reinforcement learning and multi agent systems
Contribute to publications and open source projects
Minimum Qualifications:
Bachelor's degree in Computer Science or relevant technical field
Proven programming experience in Python
Experience with cloud GPU environments such as AWS, lambda
Hands-on experience with open source AI projects
Hands-on experience with frameworks such as Pytorch
Preferred Qualifications
Master's degree in Computer Science or other relevant technical field
Published paper at a top conference (i.e NeurIPS, ACL, ICML, ICLR etc)
Location - Toronto
More about this job
Responsibilities
The Research Software Development Engineer at Skyfall AI will build the tools and infrastructure used to train models in interactive environments. They will implement new methods in language modeling, reinforcement learning and multi-agent systems, and contribute to publications and open source projects.
Requirements
Skyfall AI needs candidates with a bachelor's degree in computer science or a related technical field, proven Python programming, and hands-on work with cloud GPU environments and PyTorch. Hands-on experience with open source AI projects is also required, while a master's degree or a paper at a top conference is preferred.
Skills
- Python
- PyTorch
- AWS
- Lambda Labs cloud GPU
- Cloud GPU environments
- Language model pre-training
- Language model post-training
- Reinforcement learning
- Reinforcement learning with language models
- Simulated environments
- Multi-agent systems
- Open source AI projects
- Machine learning
- Deep learning
- Research software development
- Publishing research papers
- Infrastructure development
- Model training pipelines
Categories
- Software
- Technology
- Data & Analytics
- Science & Research
Keywords
- Python
- PyTorch
- AWS
- Lambda
- cloud GPU
- language models
- reinforcement learning
- multi-agent systems
- pre-training
- post-training
- simulated environments
- open source AI
- machine learning
- NeurIPS
- ACL
- ICML
- ICLR
- AI research engineer
- Toronto
Tools
- Python
- PyTorch
- AWS
- Lambda
Languages
- English
Fields of study
- Computer Science