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Open nowPosted 80 days ago

AI Engineer - Foundational Vision & Language Models for Robotics

Workable (global search)108,016 open roles

Where
Yavne, Center District, Israel
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Your applicationOpen nowAI Engineer - Foundational Vision & Language Models for RoboticsWorkable (global search) · Yavne, Center District, Israel

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7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 80 days ago

Workable (global search) median: 7 days open

The posting

Mid–Senior | Robotics | Applied Research & Deployment

We are hiring a Mid–Senior AI Engineer to join our AI team and work on large language, vision-language, and vision-language-action models for robotic autonomy. This role will focus on improving the robot’s reasoning, planning, and autonomous decision-making capabilities using modern foundational AI models.

You will collaborate closely with the AI, robotics, and embedded software teams to build intelligent robotic capabilities end to end — from model development and evaluation to integration and deployment on real robots with onboard compute.

What You’ll Do

  • Design, develop, and deploy LLM-, VLM-, and VLA-based systems for robotic reasoning, planning, perception, and action.
  • Build agentic and multi-agent systems for robotic decision-making and task execution.
  • Develop human–robot interaction capabilities using language, vision, and multimodal inputs.
  • Fine-tune, adapt, evaluate, and deploy foundation models for real-world robotic use cases.
  • Integrate AI models with perception, navigation, control, and ROS-based robotic systems.
  • Work on model deployment for fully onboard and hybrid edge/cloud compute scenarios.
  • Build evaluation pipelines for robot autonomy, model behavior, task success, reliability, and safety.
  • Collaborate with embedded software and robotics engineers to connect high-level AI systems with real-time robot execution.
  • Translate research ideas into practical, robust systems that operate on physical robots.

Requirements

  • Strong background in Python, machine learning, deep learning, and applied AI development.
  • Hands-on experience working with LLMs, VLMs, multimodal models, or foundation model pipelines.
  • Experience with model fine-tuning, prompting, evaluation, inference optimization, or deployment.
  • Familiarity with agent frameworks, tool-using models, planning systems, or similar architectures.
  • Strong understanding of modern AI model development workflows, including data preparation, training, evaluation, and deployment.
  • Ability to work across software boundaries, from research code to production-quality robotic systems.
  • Strong systems thinking and the ability to reason about end-to-end autonomy pipelines.
  • Experience debugging complex AI systems in real-world or simulated environments.
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