Algorithm and Applied AI Scientist (DSP) - Augury

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 the connection between datasets to generate actionable insights. Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights. Partner with the product team and external customers to create data-driven solutions that address real-world business needs. 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. Prior experience in the industrial or manufacturing sector is advantageous. Capability to translate theoretical research into robust, scalable, and production-ready systems. 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. Stock options Paid parental leave Flex PTO

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 the connection between datasets to generate actionable insights. Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights. Partner with the product team and external customers to create data-driven solutions that address real-world business needs. 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. Prior experience in the industrial or manufacturing sector is advantageous. Capability to translate theoretical research into robust, scalable, and production-ready systems. 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. Stock options Paid parental leave Flex PTO

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 the connection between datasets to generate actionable insights. Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights. Partner with the product team and external customers to create data-driven solutions that address real-world business needs. 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. Prior experience in the industrial or manufacturing sector is advantageous. Capability to translate theoretical research into robust, scalable, and production-ready systems. 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. Stock options Paid parental leave Flex PTO