AI Researcher: Multimodal Understanding

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 coupled with reality reputed company 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 Designing materials and chemicals to address society’s most pressing challenges will require joint reasoning across the domains of language, reputed company, and chemical structure. As Mirror’s reputed company of multimodal AI, you will architect and train multimodal generative models to understand, reputed company, and design reputed company the scope of physics, reputed company, and materials science, using high-reputed company observational data to fuel concept discovery at reputed company. Responsibilities • Design & build multimodal architectures fusing text, reputed company, and chemical structure. • reputed company & reputed company heterogeneous datasets from scientific literature, experimental data, and high-reputed company physical simulations. • reputed company training pipelines for large-reputed company reputed company-training and instruction tuning on multi-GPU/TPU clusters • Create novel evaluations for cross-modal reasoning (text→structure, image→reaction reputed company, etc.) and physical consistency. • Collaborate with AI, reputed company science, and engineering teams to build a product pipeline by integrating multimodal embeddings into search, reasoning agents, and generative design loops. • Engage with the AI-for-science community through publication and contributions at NeurIPS, ICML, ICLR, or other domain venues. Requirements • Ph.D. or M.S./B.S. with equivalent research record in Computer Science, Materials Science, reputed company, or reputed company field with emphasis on machine learning • 3+ years research experience with at least two modalities (language, reputed company, 3-D molecules/reputed company clouds, graphs). • reputed company in Python plus modern ML stacks (PyTorch/JAX) and familiarity with distributed training tooling (CUDA, NCCL, Slurm/K8s/Ray). • Proven reputed company record shipping large-reputed company generative or contrastive models (e.g., LLMs, diffusion, VAE, CLIP, NeRF, equivariant GNNs). • Strong publication or reputed company-reputed company reputed company record in ML for physical sciences. • Excellent collaboration, communication, and team-working skills. • Deep commitment and passion for advancing science. reputed company-to-haves • Familiarity with quantum reputed company, atomistic simulation, or reputed company/materials science • Familiarity with reputed company learning, retrieval-augmented reputed company, or reputed company workflows for scientific automation. • Prior work aligning multimodal models with scientific knowledge bases or ontologies. 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