…We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training…

…infrastructure, and/or deep learning applications 2+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists Strong…

…the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience with LLMs, AI Agents, MCPs, Chain of…

…Experience designing teacher–student training pipelines or transferring capabilities from large foundation models to smaller models. Experience with multimodal models spanning language, vision, video…

…provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security…

…And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view…

…learning workflows, including feature stores, model training pipelines, and real-time inference capabilities - Partner with applied scientists and ML engineers to build robust data…

…Research engineers and scientists with experience building and training computer vision models. Experience with multimodal representations and visual language modeling is strongly preferred. A…

…AI capabilities. Extract ontology structure. Lead ontology versioning and migration. Cross-functional Collaboration: Partner with engineering, product, and data teams to bring models from…

…Experience with graph databases or query languages (e.g., Neo4j, SPARQL, Cypher). Demonstrated ability to build and evaluate ML models. You've trained models…

…autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril’s Research Scientists excel…

…Day to day, the role also spans the broader foundation-model stack, including vision-language-action and vision-language models for embodied AI, world…

…spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new…

…Apply the right paradigm for the problem, e.g.: training traditional ML models from scratch, or fine-tuning and aligning small/large language models…

…of scientists and drug developers across the full lifecycle, from early discovery through clinical translation and regulatory review. As the Applied AI Engineering Manager…