Role Description The Training Infrastructure team at Luma is responsible for building and maintaining the distributed systems that enable training of our large-scale multimodal models across thousands of GPUs. This team ensures our researchers can focus on innovation while having access to reliable, efficient, and scalable training infrastructure that pushes the boundaries of what's possible in AI model development. We are looking for engineers with significant experience solving hard problems in PyTorch, CUDA and distributed systems. You will work alongside the rest of the research team to build & train cutting edge foundation models on thousands of GPUs that are built to scale from the ground up. Responsibilities - Design, implement, and optimize efficient distributed training systems for models with thousands of GPUs - Research and implement advanced parallelization techniques (FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel) - Build monitoring, visualization, and debugging tools for large-scale training runs - Optimize training stability, convergence, and resource utilization across massive clusters Qualifications - Extensive experience with distributed PyTorch training and parallelisms in foundation model training - Deep understanding of GPU clusters, networking, and storage systems - Familiarity with communication libraries (NCCL, MPI) and distributed system optimization - (Preferred) Strong Linux systems administration and scripting capabilities - (Preferred) Experience managing training runs across >100 GPUs - (Preferred) Experience with containerization, orchestration, and cloud infrastructure Company Description Luma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world. - We believe that multimodality is critical for intelligence. - To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. - We are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

• Own the path from research output to production-ready artifact: a detection rule, a distributed feed, a scoring input, or a customer alert • Build and maintain STRIKE platform components across multiple services and runtimes • Turn research into shipped detection content: YARA, Sigma, STIX patterns, behavioral indicators, and the pipelines that distribute them • Drive STIX 2.1 adoption as a unified output schema and TAXII 2.1 as a distribution standard • Build the automation that removes commodity overhead from research work • Coordinate with engineering, measurement, and platform product teams so research actually lands in product

• Own the path from research output to production-ready artifact • Partner with adjacent teams to define clean handoff contracts • Build and maintain STRIKE platform components across multiple services and runtimes • Turn research into shipped detection content • Drive STIX 2.1 adoption as a unified output schema • Build automation for research workflows • Coordinate with engineering, measurement, and platform product teams

Role Description We are looking for a Veterinary Research Mentor to support high-achieving pre-vet students through the development and completion of original literature-based research projects in veterinary medicine, animal science, and related disciplines. If you hold a DVM, PhD, or both and are passionate about mentorship, this role is an excellent fit. This is a part-time, remote, 1099 contract role that can be based anywhere in the United States or Canada. - Mentor undergraduate students through the full research process, from topic selection and literature review to manuscript development and final deliverables - Guide students in developing feasible, high-quality research questions aligned with their academic and career goals - Provide structured feedback on research plans, literature synthesis, and written research drafts - Help students understand research standards and discipline-specific expectations - Support students pursuing outcomes such as academic papers, posters, or journal submissions, depending on program scope - Track progress against defined milestones and timelines to ensure consistent forward momentum Qualifications - DVM, PhD, or both in Veterinary Medicine, Animal Science, Biomedical Sciences, or a related field - Demonstrated experience conducting academic or veterinary research - Strong background in literature review, research methodology, and scientific writing - Experience mentoring students or trainees - Excellent written and verbal communication skills - Strong planning, organization, and project management skills - A passion for mentorship and student development Company Description Inspira Education Group is one of the fastest-growing edtech startups in the US. We started with a simple mission to democratize access to high-quality coaching so that every student in the world has an equal opportunity to access the best opportunities. As the world’s leading network of top admissions coaches in medical, legal, business, and college studies, we’re building software and services in one place—disrupting long-entrenched application processes with products and experiences that strive to provide an equal platform for candidates from diverse backgrounds worldwide. As one of the fastest-growing edtech firms in the world, we are backed by some of the leading venture capital firms and investors in the world, including Zeev Ventures, Quiet Capital, Craft Ventures and Jeff Fluhr (Founder of Stubhub).