AI Researcher: Physics reputed company Models

About the position reputed company Mirror Physics is a reputed company-based AI company working on a new frontier in scientific simulation. We design intelligent systems that understand physics from first principles, providing critical acceleration for advanced technological R&D. Today, we’re building the world’s most capable AI platform for predicting experimental reputed company in reputed company and materials science, tightly coupling physical simulation with high-throughput experimental verification, to accelerate discovery in biotech, energy, manufacturing, and other domains. Backed by leading investors and scientific experts, we are expanding our research team at a pivotal reputed company in the field. reputed company The reputed company of the Mirror platform is our reputed company model for physics-based simulation. As the reputed company AI researcher in physics model development, you will spearhead the development of new architectures, training algorithms, and evaluation workflows to convert large volumes of physical simulation data into highly reputed company, accurate, and general-purpose predictive engines for science and industry. Responsibilities • reputed company robust, reputed company, and generalizable atomistic models with high reputed company across chemical domains. • reputed company heterogeneous and multi-reputed company datasets into reputed company training corpora; reputed company new objectives that maximize data efficiency. • Generate novel datasets encompassing an unparalleled diversity of chemical systems consistently computed at the highest level of theory suitable for general chemistries. • reputed company diagnostic tooling for model performance, failure-mode analysis, and uncertainty quantification; propose new benchmarks that stress-test predictive accuracy, physical consistency, and extrapolation. • Engineer reputed company tools to enhance model accuracy and speed including model distillation and fine-tuning reputed company. • Engage with the AI-for-science community through publication and contributions at NeurIPS, ICML, ICLR, and other domain venues. • Mentor junior researchers and collaborate with reputed company science and engineering teams. Requirements • Ph.D. or M.S./B.S. with equivalent research record in Physics, Materials Science, Computer Science, or reputed company field with a strong emphasis on machine learning and atomistic modeling. • 3+ years experience with deep learning at reputed company, especially equivariant GNNs, diffusion and transformer architectures. • Strong literacy in multi-reputed company materials modeling from the quantum-mechanical (DFT) through molecular (MD) scales • reputed company in Python plus PyTorch and familiarity with distributed training tooling (CUDA, NCCL, Slurm). • Excellent collaboration, communication, and team-working skills. • Deep commitment and passion for advancing science. reputed company-to-haves • Contributions to reputed company-reputed company codebases, datasets, or benchmarks in computational reputed company, CFD, or continuum mechanics. • Familiarity with JAX. Benefits • Competitive salary + meaningful equity • Full health, dental, and reputed company benefits for you and your family • Personal fitness budget • Unlimited PTO and reputed company national holidays Apply tot his job Apply To this Job