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Lead AI Research Scientist: Shaping the 2026 Future

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

About Nexus Horizon Labs
We are pioneering the next generation of artificial intelligence, focusing on the transformative potential of 2026 and beyond. We are seeking a visionary Lead AI Research Scientist to lead our research division, pushing the boundaries of what is possible with Large Language Models and Cognitive Computing.

Join us in a dynamic environment where you will define the roadmap for AI adoption in enterprise sectors. Your work will directly influence the technological landscape of the coming decade.

Responsibilities

  • Architectural Innovation: Design and implement cutting-edge neural network architectures specifically tailored for 2026 scalability and efficiency.
  • Research Leadership: Spearhead projects exploring emergent AI behaviors, reinforcement learning, and ethical AI alignment.
  • Production Deployment: Collaborate with the engineering team to transition theoretical models into robust, production-grade software.
  • Publication: Author high-impact papers for top-tier conferences (NeurIPS, ICML, ICLR) and patent new methodologies.
  • Team Mentorship: Guide a diverse team of data scientists and ML engineers in technical best practices and research methodologies.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
  • Technical Mastery: Extensive experience with deep learning frameworks (PyTorch, TensorFlow) and distributed training systems.
  • Domain Expertise: Proven track record in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience: Minimum of 5+ years of experience in top-tier AI research labs or tech companies.
  • Soft Skills: Exceptional communication skills with the ability to translate complex research into business value.

Required Skills

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

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