AI/ML Researcher
16 hours ago
About The Position
As Augury's AI/ML researcher, you'll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to unique big datasets from multiple data sources, and you will have the opportunity to research and innovate new models that directly impact industrial manufacturers around the world. As part of the AI team at Augury, you will have the opportunity to continuously grow and learn, while building and deploying impactful models directly into our products, witnessing firsthand how their impact on our customers in manufacturing.
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, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
- You will use 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, and stream analysis (e.g., metaflow, outerbounds, Azure)
What You Bring
- M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
- 3+ years of experience in ML/AI with experience in modeling time-series data.
- Proficiency in Python for model development, deployment, and monitoring.
- Experience in anomaly detection, AI, and ML is an advantage.
- Capable of defining technological solutions and to research and develop independently.
- Experience within the industrial sector is an advantage.
- 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.
- The ability to collaborate with diverse, cross-functional groups, including product managers and hardware engineers.
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