Algorithm and Applied AI Scientist (dsp)

Augury Augury · Vertical AI · Augury, Israel · R&D

Augury is a leader in Industrial AI, seeking an Algorithm and Applied AI Scientist to lead a project focused on advanced signal processing and data analytics. The role involves researching and developing novel models, extracting features from unique datasets, and deploying production-ready AI models for industrial manufacturers to drive efficiency and reduce downtime.

What you'd actually do

  1. Be the technical lead of an innovative project.
  2. Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
  3. 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.
  4. Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
  5. 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.

Skills

Required

  • 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.
  • Capability to translate theoretical research into robust, scalable, and production-ready systems.
  • 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.
  • Experience thriving in agile environments with a focus on rapid iteration, continuous feedback, and professional growth.

What the JD emphasized

  • technical lead
  • advanced signal processing
  • data analytics
  • researching and developing novel models
  • extracting features
  • production-ready feature-based AI models
  • predictive and anomaly classification models
  • time-series and textual information
  • Generative AI
  • transformers
  • TSFM
  • TGNN
  • deep learning
  • traditional statistical methods
  • time-series
  • textual data
  • technical leadership experience
  • real-world physical data and sensor signals
  • model deployment and performance monitoring
  • independently research, architect, and implement innovative technological solutions
  • translate theoretical research into robust, scalable, and production-ready systems

Other signals

  • Industrial AI leader
  • predictive and prescriptive AI technology
  • real-time production insights
  • minimize downtime
  • reduce asset costs
  • maximize yield and capacity