About the role
Experienced AI/ML Applied Researcher | Augury Solutions Production Health AI-driven insights to enhance operations, empower teams, and achieve sustainable production. Learn more Machine Health Prevent machine failures and reduce maintenance costs with AI powered by reliability experts. Machine Health Machine Health Solutions Critical Equipment Hazardous Ultra-Low RPM Supporting Equipment Auguscope Use Cases By Industry By Business Goal By Persona By Asset By Industry Food & Beverage Consumer Packaged Goods Metals & Mining Pulp & Paper Glass Chemicals Pharmaceutical Plastics Steel Forest Products Building Materials & Cement Commercial Services Energy Show more By Business Goal Eliminate Unnecessary Downtime Reduce Loss, Waste, and Emissions Maximize Yield and Capacity Optimize Asset Care Transform the Way You Work Show more By Persona Plant Manager IT Maintenance & Reliability VP Manufacturing & Engineering Digital Transformation Supply Chain Process Engineering & Operations Show more By Asset Rotating Equipment Pumps Motors Compressors Bearings Fans and Blowers Gearboxes Chillers Conveyor Extruders Mills Mixers Seamer Show more Why Augury Customer Success Our Customers Our Commitment Success Stories Spotlight Awards Show more Partners Resources Resource Center Blog Events & Webinars Podcasts Videos Collateral Value Calculator Show more Company About Leadership Careers Media Center Support Community In the News Press Releases Show more Pricing Contact us Search for: Log in Get a Demo All Jobs R&D Experienced AI/ML Applied Researcher Our mission is to provide manufacturers and other industrial sectors with insights into the health of machines, processes, and operations to transform how people work and what they can create. A leader in Machine Health and Process Health solutions, Augury uses purpose-built AI technology, trained by industry experts and the world’s largest data library, to help companies realize the full potential of their production. Together with our customers, we are pioneering Production Health by removing friction created by competing business goals so companies can improve business outcomes, empower their workforce, and achieve sustainable production- all at the same time. Full-time Haifa, Israel (Hybrid) About The Position 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, stay at the forefront of the technologies in the world, 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. Research, design, and build anomaly classification, predictive, insights, recommendations and other types of models from various data sources, including sensor time-series data, textual data, images, and more. You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, GenAI, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data. Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks) Partnering and contributing to modern technologies: 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. 4+ years of experience in ML applications, including research on time-series data, ML-based vectoring, and Embeddings (Transformers included) Proficiency in Python and Applied Science SDLC - Discovery, Research, development, fidelity deployment, monitoring, Training, and fine tuning Experience in anomaly detection, abnormal behavior, outliers, pushing recall, precision, and tail metrics KPIs boundaries Experience working with ML ops infrastructure such as Vertex AI, Sagemaker etc. The ability to translate research into scalable, production-ready solutions. 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. Experience in feature engineering-based signal processing - big advantage.