Senior Deep Learning Researcher

Description:

Prisma Photonics, a fast-growing startup, transforms infrastructure monitoring with optical fibers. We eliminate the need for extra sensors by offering sensor-free solutions to monitor electrical power grids and oil & gas pipelines across thousands of kilometers.

Our fiber-sensing technology, integrated with AI and machine learning, enables our customers to achieve environmental and renewable energy targets, ensuring smooth utility operations on their path to net-zero emissions.

We are looking for the best minds and spirits to join us in our journey. We know our product is only as great as the individuals building the hardware and software and harnessing data for good causes. Being a great team member means being eager to learn and grow, able to challenge while accepting being challenged, and working for the team and the product with enthusiasm and passion.

We are now hiring a Senior Deep Learning Researcher, with experience, skills, and data-driven reasoning to take a leading role in solving our core data science challenges. To meet these, you will be expected to exhibit outside-of-the-box thinking and leadership skills, while collaborating with the engineering, hardware, data, and field application teams.

As a member of our ML team at Prisma Photonics, you will tackle unique challenges in the domain of Optical Fiber Sensing. Fiber Sensing measures the acoustic signal along an optical fiber and is interpreted as a continuous acoustic signal originating from tens of thousands of microphones spanning hundreds of kilometers. You will cultivate a deep familiarity with this domain and research novel Deep Learning approaches that address domain-specific challenges in detecting, classifying, and tracking spatiotemporal events.

Responsibilities

Devise, initiate and lead deep learning projects for solving challenging problems.

Use advanced data analysis and visualization tools to gain insights from diverse real-world data.

Proactively seek new directions for tackling hard-to-crack problems, including devising real-world experiments and data collection, and collaborating with fellow physicists and engineers.

Learn new topics and conduct literature reviews to gain deep familiarity with relevant topics.

Work in a dynamic environment of short life cycle research and development.

Requirements:
Advanced degree (M.Sc. or higher) in a relevant field (Computer Science, EE, Physics, etc.).
At least 5 years of experience in the industry.
Experience with DL, ML, and numerical libraries like: PyTorch, Tensorflow, NumPy, Pandas.
Solid Python programming skills.
Proven track record in solving novel DL challenges.
Algorithmic and Deep learning design skills.
Ability to learn and adapt quickly.
Strong Data analysis and presentation skills.
Excellent communication and teamwork skills.

Advantages:

Previous publication record in ML and adjacent disciplines.
Experience with seismic data and geophysics.
Experience with Tracking algorithms.
Familiarity with the DevOps, and Big Data infrastructure.