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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist | Nexus Horizon Labs

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 250.000 – USD 450.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

The Future of Intelligence Starts Here.

Nexus Horizon Labs is at the forefront of defining the technological landscape of 2026 and beyond. We are not just building software; we are architecting the next evolution of artificial consciousness. We are seeking a visionary Senior AI Research Scientist to lead our breakthrough initiatives in Artificial General Intelligence (AGI) and quantum-enhanced neural networks.

If you are passionate about pushing the boundaries of what machines can learn and possess a deep understanding of the ethical implications of AI, we want to talk to you.

Why Join Us?

  • Work on high-impact projects that will define the industry standards for the next decade.
  • Competitive compensation and equity packages.
  • State-of-the-art facilities in the heart of San Francisco.

Responsibilities

  • Lead the research and development of scalable architectures for next-generation General Intelligence systems.
  • Design and implement novel algorithms in Natural Language Processing (NLP) and Computer Vision that exceed current state-of-the-art performance.
  • Collaborate with cross-functional teams of engineers, ethicists, and futurists to ensure AI alignment and safety protocols.
  • Publish high-impact research papers and present findings at top-tier global conferences.
  • Prototype and train large-scale models using proprietary datasets and emerging hardware accelerators.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field with a focus on Machine Learning/AI.
  • Minimum of 5+ years of professional experience in research or a senior engineering role within a leading AI lab or tech company.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of deep learning architectures, transformer models, and reinforcement learning.
  • Strong background in mathematical optimization and statistical modeling.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Computer Vision AI Ethics Research Stanford MIT

Ready to Take This Challenge?

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