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AI Visionary Research Scientist - 2026 Roadmap

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are not just building software; we are architecting the cognitive architecture of the future. Nexus Horizon Labs is seeking a Senior AI Research Scientist to spearhead our mission toward Artificial General Intelligence (AGI) by 2026.

In this pivotal role, you will bridge the gap between theoretical machine learning and scalable production systems. You will lead a team of brilliant engineers to develop next-generation neural networks capable of real-time, autonomous decision-making. If you are passionate about pushing the boundaries of what is possible in the year 2026 and beyond, we want to meet you.

Why Join Us?

  • Work on cutting-edge Generative AI and Reinforcement Learning models.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art offices in San Francisco.

Responsibilities

  • Lead the research and development of proprietary Large Language Models (LLMs) optimized for 2026 enterprise needs.
  • Design novel neural architectures that improve model efficiency and accuracy by 40%+.
  • Collaborate with cross-functional teams to deploy AI solutions into high-traffic production environments.
  • Stay at the forefront of academic literature, adapting cutting-edge findings into practical applications.
  • Mentor junior researchers and PhD candidates, fostering a culture of innovation and rigor.
  • Conduct rigorous A/B testing and model validation to ensure ethical and safe AI deployment.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in Deep Learning, Natural Language Processing (NLP), or Computer Vision.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Proven track record of publishing research in top-tier conferences (NeurIPS, ICML, ACL).
  • Experience with distributed computing frameworks (Apache Spark, Kubernetes) for large-scale training.
  • Strong understanding of AI ethics, safety protocols, and responsible AI guidelines.

Required Skills

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

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