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Responsibilities:
-Train and validate machine learning models using frameworks like PyTorch and TensorFlow on large-scale datasets.
- Build and deploy containerized applications and scalable model-serving systems.
- Apply computational mathematics methods to design and validate algorithms with quantitative results.
Requirements:
. A Ph.D. in Computational Mathematics, Computer Science, or a related field is required.
. One year of experience in computational mathematics, machine learning, or algorithm development is required.
. Demonstrated experience with Python packages like NumPy, Pandas, and SciPy is required.
Logistics:
- This role may be performed remotely from anywhere within the United States.
- The salary range for this position is $183,801 to $184,000 per year.
SimSpace
SimSpace is an AI Proving Ground platform that helps organizations train, test, and outmaneuver adversaries in cyber-range simulations. It is a team of innovators and protectors focused on a human-centered culture, professional growth, and diversity.