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AI Research Scientist - 2026 Horizon

Nexus Core Technologies
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to define the future of artificial intelligence? Nexus Core Technologies is seeking a visionary AI Research Scientist to join our elite team focused on the 2026 Horizon. We are building the infrastructure for a post-silicon world, leveraging advanced neural architectures to solve complex global challenges.

In this role, you will pioneer the next generation of Large Language Models (LLMs) and autonomous agents. We are looking for a thinker who isn't just applying existing algorithms, but is redefining them for the year 2026 and beyond.

Why Join Us?

  • Work at the forefront of Artificial General Intelligence (AGI) development.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first culture with a focus on innovation.
  • Access to cutting-edge hardware and cloud resources.

Responsibilities

  • Design and implement state-of-the-art deep learning models and neural architectures.
  • Lead research initiatives focused on predictive analytics, NLP, and reinforcement learning.
  • Publish high-impact peer-reviewed papers and present at global AI conferences (NeurIPS, ICML).
  • Optimize model inference latency and scalability for real-time applications.
  • Collaborate with quantum computing teams to hybridize traditional AI algorithms.
  • Mentor junior researchers and contribute to the technical roadmap for 2026.

Qualifications

  • Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field.
  • Proven track record of publishing in top-tier venues (NeurIPS, ICML, ICLR, CVPR).
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Strong background in natural language processing or computer vision.
  • Demonstrated experience deploying large-scale ML models in production environments.
  • A deep passion for the future of technology and the '2026' roadmap.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Computer Vision CUDA AGI Reinforcement Learning Research Stanford MIT

Ready to Take This Challenge?

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