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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist | 2026 Horizon Initiative

Nexus Future Labs
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Shape the Future of Technology. Nexus Future Labs is at the forefront of the 2026 Horizon Initiative, pioneering breakthroughs in Artificial General Intelligence (AGI) and adaptive neural architectures. We are looking for a visionary AI Research Scientist to join our elite R&D division and architect the algorithms that will define the next decade of human-machine interaction.

In this high-impact role, you won't just maintain legacy systems; you will build the foundational logic for autonomous agents capable of complex reasoning, ethical decision-making, and seamless integration into the metaverse of 2026 and beyond.

Why Join Us?

  • Work with state-of-the-art compute infrastructure.
  • Collaborate with world-class engineers and philosophers.
  • Equity package tied to 2026 milestones.
  • Unlimited PTO and remote-first flexibility.

Responsibilities

  • Design and implement novel deep learning architectures tailored for the 2026 infrastructure standards.
  • Conduct rigorous research to advance the field of Large Language Models (LLMs) and multimodal AI.
  • Translate theoretical research into scalable production code.
  • Collaborate with cross-functional teams to integrate AI agents into consumer and enterprise products.
  • Mentor junior researchers and contribute to the technical vision of the Horizon Initiative.
  • Publish high-impact papers and patents in top-tier AI conferences.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of professional experience in deep learning, NLP, or reinforcement learning.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing research and delivering production-grade AI models.
  • Experience with distributed computing systems (Kubernetes, Spark) is highly desirable.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, experimental environment.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning AI Research Kubernetes Distributed Systems

Ready to Take This Challenge?

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