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Senior AI Research Scientist - Future Vision 2026

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

The Future is Here. Apex Horizon Technologies is pioneering the next generation of General Intelligence. We are looking for a visionary Senior AI Research Scientist to join our elite R&D division, specifically tasked with delivering breakthrough architectures by 2026.

In this role, you will not just write code; you will define the trajectory of artificial intelligence. You will work at the intersection of deep learning, cognitive science, and large-scale distributed systems. Our mission is ambitious: to create systems that possess true reasoning capabilities and autonomous learning by the target year of 2026.

If you are a thought leader in the AI space, obsessed with pushing boundaries, and want to leave a permanent mark on the history of technology, we want to hear from you.

Responsibilities

  • Lead Research Initiatives: Spearhead the development of novel neural network architectures aimed at achieving AGI milestones by 2026.
  • Prototype Development: Build and validate complex models using Python, PyTorch, and TensorFlow in a high-performance computing environment.
  • Scientific Publishing: Author and present high-impact research papers at top-tier conferences (NeurIPS, ICML, ICLR) to establish Apex Horizon as an industry leader.
  • Strategic Mentorship: Mentor junior data scientists and PhD researchers, fostering a culture of innovation and technical excellence.
  • Cross-Functional Collaboration: Partner with engineering teams to translate theoretical research into scalable, production-ready AI products.
  • Roadmap Planning: Contribute to the long-term strategic roadmap, ensuring our technical milestones align with the 2026 vision.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on Artificial Intelligence.
  • Experience: Minimum of 5 years of industrial experience or 7 years of post-PhD research experience in Deep Learning and Machine Learning.
  • Technical Skills: Proficiency in Python, C++, and GPU programming (CUDA). Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Publications: A demonstrated track record of publishing in peer-reviewed journals and attending top-tier AI conferences.
  • Problem Solving: Exceptional ability to tackle unstructured, open-ended research problems with creative solutions.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Computer Vision Reinforcement Learning CUDA PhD Research AI Architecture MLOps

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