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Senior AI Research Scientist - 2026 Vision

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

Job Description

Are you ready to define the technological landscape for the year 2026? Nexus Horizon is at the forefront of next-generation artificial intelligence, and we are looking for a visionary Senior AI Research Scientist to lead our 'Future Intelligence' initiative.

In this pivotal role, you will architect the neural architectures that will define the autonomous systems of tomorrow. We aren't just building software; we are engineering the infrastructure for a new era of human-machine symbiosis. If you possess an obsession with precision and a drive to push the boundaries of what is possible, we want to meet you.

Join a team of elite engineers and strategists dedicated to solving the complex challenges of AGI (Artificial General Intelligence) by 2026.

Responsibilities

  • Lead the research and development of advanced Large Language Models (LLMs) and generative AI frameworks.
  • Define the technical roadmap for the '2026' initiative, ensuring scalability and ethical AI standards.
  • Collaborate with cross-functional product teams to translate theoretical research into deployable commercial solutions.
  • Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
  • Conduct rigorous experimental validation and publish high-impact papers in top-tier AI conferences.
  • Optimize model performance for low-latency, high-throughput environments in production.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of proven experience in deep learning, natural language processing, or reinforcement learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Strong background in statistics, optimization, and algorithm design.
  • Track record of publishing in recognized venues (NeurIPS, ICML, ICLR) or contributing to open-source AI ecosystems.
  • Demonstrated ability to lead technical teams and manage complex R&D projects.

Required Skills

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

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