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Information Technology 🏒 Full Time ⭐️ Verified

Next-Gen AI Research Scientist

QuantumHorizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are defining the architecture of tomorrow. Join QuantumHorizon AI as we build the autonomous agents and intelligent systems that will define the 2026 landscape. We are looking for a visionary AI Research Scientist who is not just comfortable with the future, but is actively building it. You will lead the charge in developing scalable, ethical, and high-performance AI models that push the boundaries of what is possible today. If you are driven by complexity and want to leave a lasting legacy in the tech world, this is your stage.

Responsibilities

  • Architect Future AI Systems: Design and implement cutting-edge Agentic AI architectures designed for the 2026 technological roadmap.
  • Model Optimization: Lead the research and development of Large Language Models (LLMs) and Multimodal systems, focusing on efficiency and reasoning capabilities.
  • Strategic Innovation: Identify emerging trends in Artificial General Intelligence (AGI) and translate them into actionable technical roadmaps for the engineering team.
  • Ethical AI Governance: Establish frameworks for bias mitigation and responsible AI deployment to ensure our systems are safe and equitable.
  • Collaborative Leadership: Mentor junior researchers and collaborate with cross-functional teams (product, engineering, design) to bring futuristic concepts to reality.

Qualifications

  • Advanced Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Technical Mastery: 5+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Reinforcement Learning.
  • Tool Proficiency: Extensive experience with Python, PyTorch, TensorFlow, and cloud-based inference platforms (AWS/GCP).
  • Problem Solving: Demonstrated ability to solve complex, open-ended problems with limited historical data.
  • Communication: Exceptional ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch Deep Learning NLP LLMs Cloud Computing Data Science Research

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