Algorithm Engineer

An elite, highly successful AI/ML research and software engineering pioneer that designs cutting-edge mathematical and statistical forecasting models powered by deep-tech architectures.

The company parses massive, highly diverse multi-modal data streams to dynamically predict and optimize grid loads and algorithmic energy trading structures within the US electrical market

guaranteeing resource efficiency and mitigating power overproduction.

Structurally flat and research-centric, the organization scales with 54 total professionals, counting approximately 40 elite researchers distributed across 5 specialized labs.

The company is based in the Tel Aviv region (highly accessible, situated immediately adjacent to a major train transit artery), operating under a flexible hybrid.

Position Overview-

• AI Research & Algorithm Engineer joining the company's core R&D division, operating inside a high-impact Research-to-Production framework with a heavy 60% pure mathematical and algorithmic research focus.

• Directing a multi-disciplinary technical blueprint spanning classic algorithms, Advanced Data Science, Machine Learning, NLP, Computer Vision, Signal Processing, and deep simulation mathematics.

• Evaluating and optimizing large-scale distributed pipelines handling massive heterogeneous data matrixes (encompassing global weather trends, real-time trading floors, geospatial electrical routing, and fluid physical network simulations).

• Dedicating 40% of the lifecycle to robust software architecture and delivery, turning theoretical algorithmic proofs into highly reliable, clean production code.

• Core Domain & Ecosystem- Algorithmic Research, Python, Java, Machine Learning, Applied Statistics, Information Theory, Probability Models, Signal Processing, Combinatorial Optimization, Data Science, and Large-Scale Distributed Pipelines.

Requirements-

• B.Sc. or higher in Computer Science, Computer Engineering, or Electrical/Electronic Engineering from a leading research university - mandatory

• 2 years of hands-on experience in algorithm development or data science

• Relevant deep-tech software experience from a student position may apply

• Strong production-level coding skills in Python or Java

• Willingness to combine algorithmic research with architectural coding

• Experience in ML, NLP, Computer Vision, or Signal Processing

• Strong excellence indicators: 90+ academic average, elite tech background, or high-quality thesis/research experience

• Degrees in Physics, Math, Statistics, or Information Systems are not relevant

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