Augury provides IIoT and AI-driven machine health solutions using sensors and edge analytics to monitor vibration, sound, temperature, deliver diagnostics, predictive maintenance, operational analytics, and parts fulfillment for manufacturers.
<div class="content-intro"><p>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.</p></div><p>As Augury’s AI Applied Researcher, 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 solutions 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 technologies in the world, witnessing firsthand their impact on our customers.</p> <p><strong>A Day In Your Life</strong></p> <ul> <li>Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.</li> <li>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.</li> <li>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, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.</li> <li>Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.</li> <li>Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).</li> <li>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. </li> <li><span style="font-weight: 400;">As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa. </span></li> </ul> <p> </p> <p><strong>What You Bring</strong></p> <ul> <li>M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field. </li> <li>4+ years of experience in ML applications, including research on time-series data, ML-based vectoring, and Embeddings (as Transformers, TGNN, TSFM, Graph Transformer, GNN, CNN, etc.)</li> <li>Proficiency in Python (Pytorch, Pandas, NumPy, PyG - nice to have), and Applied Science SDLC - Discovery, Research, development, fidelity, deployment, monitoring, Training, and fine-tuning</li> <li>Experience in anomaly detection, abnormal behavior, outliers, pushing recall, precision, and tail metrics KPIs boundaries</li> <li>Experience working with ML infrastructure such as MLFlow, Vertex AI, Sagemaker etc.</li> <li>The ability to translate research into scalable, production-ready solutions.</li> <li>Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning.</li> <li>Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams.</li> <li>Experience in feature engineering-based signal processing - a big advantage.</li> </ul> <p><strong>Perks</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Stock options</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Paid parental leave</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Flex PTO</span> <div class="c-message_kit__gutter__right" data-qa="message_content"> <div class="c-message_kit__blocks c-message_kit__blocks--rich_text"> <div class="c-message__message_blocks c-message__message_blocks--rich_text"> <div class="p-block_kit_renderer" data-qa="block-kit-renderer"> <div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"> </div> </div> </div> </div> </div> </li> </ul><div class="content-conclusion"><p>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 intentions, and we are committed to creating an inclusive environment for all employees.</p> <p>Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or