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Senior AGI Research Engineer

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 300.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of intelligence?

Nexus Horizon Labs is pioneering the next generation of Artificial General Intelligence. We are seeking a visionary Senior AGI Research Engineer to lead our breakthrough initiatives in recursive self-improvement and emergent cognition.

In this role, you will architect the foundational models that will power the digital world of 2026 and beyond. You won't just be writing code; you will be shaping the ethical frameworks and technical architectures of a new era of synthetic intelligence.

Why Join Us?

  • Impact: Work on problems that have stumped the industry for decades.
  • Autonomy: A highly autonomous research environment with minimal bureaucracy.
  • Rewards: Competitive compensation packages and equity options.

Responsibilities

  • Architect and implement scalable, multi-modal AI systems capable of zero-shot generalization.
  • Lead a team of elite researchers and engineers in developing recursive learning algorithms.
  • Design and validate safety protocols to ensure alignment with human values.
  • Publish cutting-edge research in top-tier conferences (NeurIPS, ICML, ICLR).
  • Collaborate with cross-functional teams to integrate AGI capabilities into consumer products.
  • Define the technical roadmap for the next generation of autonomous agents.

Qualifications

  • PhD or Master's degree in Computer Science, Physics, Mathematics, or a related field.
  • 8+ years of experience in Machine Learning, Deep Learning, or NLP.
  • Proven track record of publishing research or deploying production-level AI systems.
  • Deep expertise in PyTorch, TensorFlow, or JAX.
  • Experience with Large Language Models (LLMs) and Reinforcement Learning from Human Feedback (RLHF).
  • Strong understanding of cognitive science and formal logic.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) Natural Language Processing (NLP) Reinforcement Learning Deep Learning Distributed Systems Research Methodology Machine Learning Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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