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Senior AI Research Scientist - 2026 Vision

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

We are seeking a visionary Senior AI Research Scientist to define the technological roadmap for 2026. In this pivotal role, you will pioneer breakthroughs in Generative AI, Autonomous Agents, and Human-Machine Symbiosis. If you are driven by the challenge of building the future and possess an unyielding passion for Artificial General Intelligence (AGI), Nexus Horizon Inc. is your next destination.

Why Join Us?

  • Work on the bleeding edge of technology that will define the next decade.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with a focus on high-impact output.
  • Access to state-of-the-art computing infrastructure and research grants.

Responsibilities

  • Lead Research Initiatives: Design and architect core algorithms for next-generation Large Language Models (LLMs) and multimodal AI systems.
  • Strategic Vision: Define the 2026 research roadmap, identifying high-impact opportunities in AGI and reinforcement learning.
  • Prototype Development: Build and deploy scalable AI prototypes from concept to production-ready code.
  • Team Leadership: Mentor a team of brilliant researchers and engineers, fostering a culture of innovation and scientific rigor.
  • Publication & Patenting: Author high-impact papers for top-tier conferences (NeurIPS, ICML) and secure patents for proprietary technologies.
  • Collaboration: Partner with product teams to translate complex research into tangible, user-centric AI products.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of research experience in deep learning, NLP, or computer vision with a proven track record of innovation.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers. Experience with distributed training systems is a plus.
  • Research Track Record: Demonstrated ability to publish in prestigious venues and contribute to open-source AI communities.
  • Problem Solving: Exceptional ability to tackle ambiguous, unsolved problems in AI and derive robust mathematical solutions.
  • Communication: Excellent written and verbal communication skills for technical and executive audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Reinforcement Learning Research Data Science AGI Unix/Linux Git Docker

Ready to Take This Challenge?

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