Top Deep Learning Jobs in Austin, TX

Lead design and implementation of scalable communication technologies for AI and HPC. Identify performance bottlenecks, co-design HW/SW, build proofs-of-concept, run experiments and simulations at large GPU-cluster scale to accelerate deep learning and HPC workloads.

Develop a deep-learning compiler stack that converts neural network descriptions into optimized code for embedded and special-purpose platforms. Implement and optimize NN operations, use LLVM/MLIR, benchmark on DSPs/accelerators, devise multiprocessor partitioning/scheduling, validate runtimes, and collaborate with hardware designers and partners.

Conduct research and develop algorithms for real-time video processing and deepfake detection, translating machine learning models for production use.

Lead the development of deep learning models for email data, optimize models, design evaluation frameworks, integrate products, and mentor junior researchers.

The Senior AI Scientist will develop AI algorithms, improve care quality in radiology using deep learning, mentor junior researchers, and collaborate with multidisciplinary teams.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

The Staff ML Research Scientist will lead research in deep learning for drug discovery, develop innovative models, and integrate them into commercial software. Responsibilities include mentoring junior researchers and contributing to scientific publications.