Experienced AI Applied Scientist

As Augury’s AI Applied Scientist on the algorithms insights & recommendations team, 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, stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.

• Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
• Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications and other various data sources.
• Combine between classic statistical methods, deep learning, transformers, GenAI, and any available technology to extract meaningful insights from the data. 
• 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.

• M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field. 
• 5+ years of experience in ML applications with experience in modeling time-series data, & ML-based vectoring, and Embeddings for insight & recommendations systems (Transformers included)
• 2+ years of experience in LLM and Agentic applications, Eval  tools, and workflows (HITL, LLM-as-a-judge, deterministic, Metrics & Embeddings), Fine-Tuning, tools, and workflows using AI frameworks (e.g. LangSmith)
• 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, AI/ML- an advantage.
• Experience in feature engineering-based signal processing - an advantage.
• Experience in optimizing costs of API calls - Nice to have