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Senior Data and Machine Learning Scientist
1 hour ago
Senior Data and Machine Learning Scientist
About Us
Prisma photonics helps to keep the most critical large-scale infrastructure running with the next generation of fiber sensing monitoring. Paving the way to smarter, safer, efficient, and environmentally friendly linear infrastructure.
We look for the best minds and spirits to join us in our quest to make big things run better. We balance cutting-edge optical fiber laser technology with forward-looking machine learning and algorithmic research. We embrace a data-driven paradigm that takes full advantage of the unprecedented richness and quality of the data captured by our sensors, allowing us to develop state-of-the-art algorithmic engines and machine learning models to turn data into decisions.
About You
As a member of our ML team at Prisma Photonics, you will tackle unique challenges in the domain of Optical Fiber Sensing. Fiber Sensing data measures the acoustic signal along and optical fiber and interpreted as a continuous acoustic signal originating from tens of thousands of microphones spanning over hundreds of kilometers. You will cultivate a deep familiarity with this domain and research novel ML approaches that address domain specific challenges in detecting, classifying and tracking spatiotemporal events. As a data scientist at Prisma Photonics you will have access to the full data-acquisition stack, and a close collaboration with the engineering, hardware, data and field application teams is expected.
We're looking for a top-notch senior machine learning researcher, with the experience, skills and first-principles reasoning to take part in solving our core ML and DS challenges.
Reporting to: Stav Shapiro - Data Science Manager
Basic Qualifications:
Advanced degree in a relevant field, or equivalent B.Sc. with +3 years' experience.Experience with DL, ML and numerical libraries: Pytorch, Tensorflow, NumPy, Pandas, sklearn, xgboost/lightgbm.Solid python programming skills.Proven track record in solving novel ML challenges.Ability to learn and adapt quickly.Excellent communication and teamwork skills.Preferred Qualifications:
Previous publication record in ML and adjacent disciplines.In-depth knowledge and hands-on experience in deep learning.Experience with seismic data and geophysics. Familiarity with MLops tools such as: TensorBoard, Weights and Biases and ClearML.Familiarity with the DevOps, and BigData infrastructure.Location: Tel Aviv, Israel
