Artificial Intelligence Senior Researcher

2 weeks ago

Tel Aviv, Tel Aviv, Israel Stealth Autonomous Systems AI Startup Full time ₪120,000 - ₪180,000 per year

Company Description

We're a fast-growing, stealth-mode startup on a mission to save lives through AI-powered autonomy. Our work sits at the forefront of reasoning-capable large language models (LLM), reinforcement learning (RL), Retrieval-Augmented Generation (RAG), and edge computer vision—converging into a next-generation AI autonomy suite.

Backed by top-tier customers and strategic partners, we're building our founding team. This is a rare opportunity to help shape a transformative venture from the start and play a key role in leading the Physical AI revolution.

Role Description

As an AI Researcher at our stealth‑mode startup, you will spearhead the creation of cutting‑edge algorithms in computer vision, agentic AI, and reinforcement learning. From pioneering early‑stage research to guiding models through real‑world deployment, you will develop AI algorithms that deliver exceptional performance, efficiency, and reliability on edge devices.

Partnering with fellow researchers, you'll craft novel neural network architectures and innovative training strategies that thrive under tight computational budgets. At the same time, you'll collaborate with our software engineering team to deliver production-ready solutions that meet rigorous standards for quality, stability, and throughput—while minimizing model footprint and inference latency.

Qualifications

  • MSc or PhD in Computer Science, Electrical Engineering, Physics, or a related technical field
  • 6+ years of hands-on experience in Python, including libraries such as PyTorch, OpenCV, etc.
  • In-depth understanding of machine learning, deep learning and computer vision fundamentals.
  • At least 4 years of experience related to deep learning models for computer vision tasks, including training and fine-tuning neural networks.
  • Demonstrated experience related to LLMs and AI agents - must.
  • Appreciation for best engineering practices, including version control, clean code, code reviews, testing, CI/CD, and automation.
  • Strong self-learning and research capabilities - Analyzing models, research, optimization method
  • Team player with strong communication and collaboration skills.

Advantages

  • Hands-on experience in the entire life cycle of creating a production grade computer vision model.
  • High proficiency in LLM / RAG / RL .
  • Experience in deep learning models compute optimization.
  • Experience in low-voltage chipsets.
  • Leadership experience.

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