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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/AGI Research Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to define the trajectory of Artificial General Intelligence?

At Nexus Future Systems, we are not just predicting the future; we are engineering it. As we approach the pivotal year of 2026, our mission is to transition from narrow AI to General Intelligence. We are seeking a visionary Senior AI/AGI Research Engineer to lead our next-generation reasoning and perception models. If you thrive in high-pressure environments and want to build the foundational tech of tomorrow, this is your opportunity to make history.

Why Join Us?

We offer top-tier compensation, equity packages, and the chance to work on problems that will define the next decade of human-machine interaction. Our team consists of Nobel laureates and industry veterans dedicated to pushing the boundaries of what is possible.

Responsibilities

  • Spearhead Architecture: Design and implement novel neural network architectures capable of human-level reasoning and autonomous learning.
  • Model Optimization: Develop and optimize large-scale training pipelines, reducing inference costs while increasing model accuracy.
  • R&D Leadership: Publish breakthrough research in top-tier conferences (NeurIPS, ICML, ICLR) and contribute to the open-source community.
  • Multi-modal Integration: Integrate text, vision, and audio data streams to create unified, context-aware AI agents.
  • Technical Mentorship: Guide junior researchers and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Ph.D. in Computer Science, Mathematics, Physics, or a related field from a top-tier university.
  • Experience: 5+ years of industry experience in Machine Learning or Deep Learning research.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Kubernetes).
  • Specialization: Strong background in Natural Language Processing (NLP), Reinforcement Learning, or Symbolic AI.
  • Problem Solving: Demonstrated ability to tackle unsolved problems in AI safety and alignment.

Required Skills

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

Ready to Take This Challenge?

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

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