Standard Template LabsNew York, NYLeads hands-on development of AI-native, distributed systems that integrate LLMs, retrieval, and graph intelligence into enterprise IT workflows. Requires 7+ years of software engineering experience, strong architecture and API expertise, modern programming skills, and experience mentoring engineers.
Conduct frontier AI research on LLMs, embedding models, and rerankers for RAG and semantic search. Requires PhD in CS or related field plus strong publication record in top ML venues.
Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.
Conduct cutting-edge research on Large Language Models, focusing on transformer optimization, distributed training, data curation, and RL. Collaborate on experiments, deploy models to production, and drive voice AI innovations.
Pioneers Latent Space Models to solve core challenges in voice AI, developing neural audio codecs, generative speech models, and scalable multimodal systems. Requires strong expertise in statistical learning, foundation models, and bridging theory to efficient deployment.
Develop post-training recipes and build enterprise data agents for autonomous planning, code generation, and multi-step workflows. Requires 2+ years applied research experience shipping prototypes, plus expertise in LLMs, agents, and RL.