| Company | Optiver |
| Job title | Machine Learning Research Engineer |
| Job location | Austin, Texas, US |
| Type | Full Time |
Responsibilities:
- Conduct innovative research on deep learning for price forecasting
- Build scalable and robust training and inference pipelines for deep learning
- Dive into the internals of open-source deep learning frameworks and enhance their functionality
- Collaborate closely with researchers and other engineers
- Develop an in-depth understanding of trading systems
Requirements & Skills:
- PhD or equivalent industry experience in a field related to machine learning
- Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow
- Experience in programming in Python
- Experience in computationally intensive research on very large data sets
Nice to have:
- Experience with the JAX ecosystem (XLA, Flax, etc.)
- Experience in programming for GPUs or other accelerators (CUDA, Triton, Pallas, etc.)
- Contributions to open-source projects related to data science and machine learning
- Strong publication record at conferences like NeurIPS, ICML, etc.
- Expertise in the internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
- Experience with large-scale distributed training
- Experience in programming in C++
