Deep Learning Student Position

2 days ago

Tel Aviv, Tel Aviv, Israel Prisma Photonics Full time ₪40,000 - ₪80,000 per year

Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a "sensor free" approach to smart infrastructure. The company is VC backed and in the revenues stage. 

Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.

We are seeking a motivated and curious Deep Learning Student Engineer to join our R&D team. This is a hands-on role for a student who wants to work with real-world data, explore deep learning techniques, and contribute to the ML infrastructure powering cutting-edge fiber-sensing technology.

Requirements
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What You'll Do
  • Support Data Tools & Pipelines - Help develop and maintain data libraries, preprocessing utilities, and pipelines for large-scale acoustic and spatiotemporal data.
  • Experiment with ML & DL Models - Collaborate on the development, training, and evaluation of models for event detection, classification, and tracking.
  • Analyze & Visualize Real-World Data - Explore diverse datasets, extract insights, and build visualizations that support research and engineering work.
  • Collaborate Across Disciplines - Work with ML engineers, DL Researchers, physicists, and field teams to understand sensing challenges and contribute to ongoing projects.
  • Write Clean, Maintainable Code - Implement tools, experiments, and data-processing modules in Python, following good practices with guidance from senior engineers.
  • Learn and Grow - Stay updated on ML research, tools, and frameworks while gaining hands-on industry experience in a fast-paced environment.
What You Bring:
  • Currently pursuing a M.Sc. in Computer Science, Electrical Engineering, Physics, or a related field.
  • Coursework or practical experience in machine learning or deep learning.
  • Strong programming skills in Python.
  • Familiarity with NumPy, Pandas, and at least one deep learning framework (e.g., PyTorch, TensorFlow).
  • Ability to work independently, ask questions, and collaborate effectively.
  • Analytical mindset and willingness to work with complex, real-world data.
Great to Have
  • Experience with large-scale or time-series / spatiotemporal datasets.
  • Hands-on experience with PyTorch or PyTorch Lightning.
  • Familiarity with acoustic, seismic, or geospatial data.
  • Experience with visualization libraries such as matplotlib or Plotly.
  • Participation in ML research, academic projects, or open-source contributions.

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