Research Software Engineer

A promising, early-stage Israeli technology startup is redefining restaurant management through a sophisticated AI-driven predictive platform. By leveraging advanced data science and statistical modeling, the company enables hospitality businesses to forecast demand surges and optimize operational efficiency in real-time.

The organization operates at the intersection of academic research and industry application, collaborating with leading academic institutions and prominent consumer platforms to build a data-rich, proactive management ecosystem.

The company is located in Central Israel (prime technology hub) and offers a hybrid work model with remote flexibility.

Role Overview:

• Hybrid R&D: Joining an elite core team in a role that merges robust software engineering with the implementation of advanced statistical algorithms.
• Polyglot Development: Focusing primarily on Python development while utilizing C++ and Rust for performance-critical components and low-level system integration.
• Predictive Modeling: Developing and optimizing AI-based tools that transform complex datasets into actionable operational insights for the hospitality sector.
• Core Team Impact: As one of the earliest engineering hires, the individual will play a significant role in shaping the technical architecture and product roadmap.
• Collaborative Research: Engaging in a high-caliber environment that integrates cutting-edge research with scalable, real-world production code.

Requirements:

• B.Sc., M.Sc., or Ph.D. in Computer Science, Software Engineering, or a related quantitative field from a top-tier academic institution – Mandatory.
• 2+ years of professional experience in Python development – Mandatory.
• Proven experience working with Algorithms, specifically in the areas of statistics or predictive modeling – Mandatory.
• Strong interest or experience in low-level languages such as C++ or Rust.
• Exceptional problem-solving skills and the ability to work independently in a fast-paced, lean startup environment.