Augury
Industrial AI
AlgorithmandAppliedAIScientist(DSP)
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“Algorithm and Applied AI Scientist (DSP) at Augury. Skills: DSP, ML/AI, Python, Signal processing. Serve as technical lead. Research and develop novel models”
What You'll Achieve.
Push boundaries of human productivity; Drive new levels of efficiency; Proactively address alerts; Minimize downtime; Reduce asset costs; Maximize yield and capacity; Achieve payback in six months or less; Enable global scale; Significant impact on industrial manufacturers globally; Successful outcomes; Generate actionable insights; Address real-world business needs; Production-ready systems
Industry & Context.
Data analytics; Anomaly classification; Problem definition
What They're Looking For.
Must Have
Advanced degree (M. Sc. or Ph. D. ) in Physics, Electrical Engineering, Computer Science, Mathematics, or a related quantitative field, Over 4+ years of experience, demonstrated expertise in DSP-based methods (e. g. , STFT, FFT, Hilbert, Wavelet, etc. ), to extract features and anomalies from the data, Over 2 years of professional experience in ML/AI, with a proven track record in modeling and analyzing complex time-series data, Proven technical leadership experience in large-scale, multidisciplinary projects, Hands-on experience working with real-world physical data and sensor signals, High proficiency in Python for the full development lifecycle, including model deployment and performance monitoring, Ability to independently research, architect, and implement innovative technological solutions, Experience thriving in agile environments with a focus on rapid iteration, continuous feedback, and professional growth, Excellent communication skills for collaborating with cross-functional teams, including Product Management and Engineering
Nice to Have
Prior experience in the industrial or manufacturing sector is advantageous
What You'll Do.
Serve as technical lead
Research and develop novel models
Define project objectives
Identify customer value
Push team toward successful outcomes
Develop understanding of industrial data
Explore physical properties
Oversee algorithm development cycle
Architect and build models
Generate actionable insights
Partner with product team
Create data-driven solutions
How You'll Work.
Team & Collaboration
Collaborate with product team; Collaborate with external customers; Collaborate with cross-functional teams; Collaborate with Product Management; Collaborate with Engineering
Communication Scope
Excellent communication skills
Process & Methodology
Technical leadership, Large-scale projects, Multidisciplinary projects
Full Job Description
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 an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining Augury's AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis. A Day In Your Life Be the technical lead of an innovative project. Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams. Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns. Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information. You will gain a deep proficiency in the industrial world and
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