Machine Learning Engineer
1 month ago
Responsibilities:
- Design and implement scalable, robust training and inference pipelines for deep learning.
- Delve into the core of open-source deep learning frameworks and enhance their capabilities.
- Identify and resolve performance bottlenecks.
- Work closely with researchers and engineers to collaborate on projects.
- Gain a deep understanding of trading systems.
Requirements:
- Proficiency in the internals of deep learning frameworks such as PyTorch, JAX, TensorFlow, etc.
- Strong knowledge of computer architecture.
- Programming experience in C++ and Python.
Preferred Qualifications:
- Familiarity with the JAX ecosystem (e.g., XLA, Flax).
- Experience in programming for GPUs or other accelerators (e.g., CUDA, Triton, Pallas).
- Linux system programming experience.
- Experience with large-scale distributed training.
- Contributions to open-source projects in data science and machine learning.
Benefits:
- Collaborate with top-tier professionals from over 40 countries.
- Enjoy a performance-based bonus structure that’s unparalleled in the industry. Our global profit-sharing model fosters a highly collaborative work environment.
- Take ownership of initiatives that address critical business challenges.
- Additional perks include 25 paid vacation days, market holidays, comprehensive health insurance, daily meals, training opportunities, 401(k) matching up to 50%, charitable match programs, regular social events, and much more.
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