AI Applied Scientist – Insights & Recommendations

Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. As Augury’s AI Applied Scientist, you’ll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research, and develop cutting-edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team at Augury, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the world's technologies, witnessing firsthand their impact on our customers. A Day In Your Life Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models. Combine classic methods with inference techniques: statistics, Time series, Deep learning, anomaly detection, Recommendation Systems, Transformers, and Inference to extract data-driven insights. Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications, and other various data sources. Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data. Leverage modern technologies: work with cloud-based big data platforms for storage, distributed processing, LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis. What You Bring M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field. 5+ years of experience in ML applications in modeling Time-series data, & ML-based vectoring, and Embeddings for insight & recommendations systems (Transformers included) - Mandatory 2+ years of experience in LLM and Agentic applications, Eval tools, methods, and workflows (HITL, LLM-as-a-judge, deterministic, Metrics & Embeddings), Fine-Tuning, and AI workflows and lifecycle (e.g. LangSmith, CrewAI, LangGraph, Embedding (BERT, w2v, FastText, FastEmbed, GloVe, etc.), Tokenizations (GPT. TikToken, Token validators, etc.), & Vector Similarities & search methods Proficiency in Python for model development, deployment, and monitoring. Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning. Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams. The ability to translate research into scalable, production-ready solutions. Experience in anomaly detection and AI/ML - an advantage. Experience in feature engineering-based signal processing - an advantage Experience in optimizing costs of API calls - Nice to have Perks Stock options Paid parental leave Flex PTO Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good inte