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Senior Artificial Intelligence Research Scientist (2026 Horizon)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to shape the future of intelligence? Nexus Future Systems is seeking a visionary Senior Artificial Intelligence Research Scientist to lead our cutting-edge 2026 Horizon initiative. We are building the foundational architectures for the next generation of AGI (Artificial General Intelligence) and are looking for a leader who can bridge the gap between theoretical research and scalable deployment.

In this pivotal role, you will define the research roadmap for 2026, mentor a team of elite engineers, and publish breakthrough findings that will redefine the industry. If you are passionate about pushing the boundaries of Machine Learning and Natural Language Processing, we want to hear from you.

Responsibilities

  • Lead the strategic vision for the 2026 Horizon AI research roadmap, focusing on General Intelligence and adaptive learning models.
  • Design and implement novel deep neural network architectures that outperform current state-of-the-art benchmarks.
  • Collaborate with cross-functional teams to translate complex research findings into production-ready AI systems.
  • Mentor and manage a team of research engineers and data scientists to foster a culture of innovation.
  • Publish high-impact research papers in top-tier AI conferences (NeurIPS, ICML, etc.) and contribute to open-source communities.
  • Evaluate and integrate new technologies to ensure the company remains at the forefront of the 2026 AI revolution.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in machine learning research, with a strong focus on NLP, Reinforcement Learning, or Multimodal AI.
  • Proven track record of publishing peer-reviewed papers in prestigious conferences.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Strong understanding of ethical AI principles and safety protocols in high-stakes environments.
  • Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning Natural Language Processing Reinforcement Learning AGI Research Leadership

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