Protogon Research is building superintelligence by developing AI models with a deep understanding of the world, which they monetize through proprietary trading. They aim to create the most transformative technology of the 21st century.
Requirements
- Proficient in deep learning frameworks such as PyTorch, TensorFlow, and Jax, with expertise in feature engineering, model optimization, and evaluating model performance.
- Strong programming skills in Python
- Knowledge of high-performance computing (HPC) and distributed computing frameworks
- Experience with cloud platforms (AWS, GCP)
Responsibilities
- Designing Model Architectures: Core work on improving our model architecture and training, with a focus on achieving measurable gains in model accuracy and reducing training time
- Evaluating Model Performance: Working on the training framework to efficiently train and test models, and expanding how we characterize/measure our trained models
- Expanding Data Sources: Finding and integrating more novel data to increase model performance on backtest as well as real-world assessments
- Monitoring and Alerts: Designing monitoring systems to detect and alert the team to anomalies with live trading strategies, aiming to reduce detection and response time, minimize false positives, and improve system reliability.
Other
- Minimum of 2 years of experience.
- Interested in AI, AGI, and financial markets.
- Discreet: Able to handle and protect proprietary technology and strategies with the highest level of confidentiality.
- Takes Ownership: Proactively takes responsibility, drives projects, and contributes effectively within a small, agile team.
- Candidates must have authorization to work in the United States without requiring sponsorship, now or in the future.
