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Senior AGI Research Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 300.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join the Architects of Tomorrow

Nexus Horizon is pioneering the next generation of Artificial General Intelligence. As we move towards the technological landscape of 2026, we are seeking visionary researchers to build scalable, safe, and sentient AI systems. If you are passionate about the frontier of machine learning and want to define the future of human-machine interaction, we want to hear from you.

As a Senior AGI Research Engineer, you will be at the helm of developing reasoning models that can understand, learn, and apply knowledge across diverse domains.

Responsibilities

  • Model Development: Lead the research and implementation of next-generation Large Language Models (LLMs) and reasoning engines designed for 2026 standards.
  • Safety & Alignment: Develop rigorous safety protocols and value alignment frameworks to ensure AI systems operate ethically and transparently.
  • Optimization: Architect high-performance distributed systems to train and serve massive models efficiently at scale.
  • Collaboration: Partner with cross-functional teams in cognitive science, product engineering, and policy to integrate AGI capabilities into real-world applications.
  • Publishing: Contribute to top-tier academic conferences and technical journals to advance the broader field of Artificial Intelligence.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of experience in research, applied ML, or software engineering within top-tier tech companies or research labs.
  • Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX; strong proficiency in Rust or C++ for high-performance computing.
  • Domain Knowledge: Proven track record in Natural Language Processing (NLP), Reinforcement Learning, or Cognitive Science.
  • Problem Solving: Ability to tackle undefined, complex problems with novel, innovative solutions.

Required Skills

AGI Machine Learning Natural Language Processing Deep Learning Python PyTorch Rust Distributed Systems AI Safety Cognitive Science Research Engineering

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