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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist - AGI & 2026 Roadmap

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

The Opportunity:

We are seeking a visionary Senior AI Research Scientist to lead our research initiatives aimed at achieving Artificial General Intelligence (AGI) by 2026. As a pioneer in the field, you will define the architectural roadmap, mentor top-tier talent, and push the boundaries of machine learning to solve humanity's most complex challenges.

Why Join Us?

  • Impactful Mission: Play a pivotal role in defining the future of AI and achieving our ambitious 2026 roadmap.
  • World-Class Team: Collaborate with Nobel Laureates and industry veterans in a state-of-the-art facility.
  • Competitive Compensation: Top-tier salary, equity package, and comprehensive benefits.

About the Role:

In this high-visibility position, you will drive the core research agenda, bridging the gap between theoretical breakthroughs and scalable engineering solutions. You will be responsible for identifying emerging trends and ensuring our technology remains at the forefront of the industry.

Responsibilities

  • Define the 2026 Roadmap: Architect and execute a comprehensive research strategy to achieve AGI milestones within the specified timeline.
  • Pioneering Research: Lead the development of novel algorithms in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Technical Leadership: Mentor a team of research engineers and PhD candidates, fostering a culture of innovation and excellence.
  • Publication & Dissemination: Author high-impact papers for top-tier conferences (NeurIPS, ICML, etc.) and patent groundbreaking technologies.
  • Collaboration: Partner with cross-functional teams in engineering, product, and design to translate research into practical applications.
  • Resource Management: Secure and manage computational resources and research budgets to maximize efficiency.

Qualifications

  • Education: PhD in Computer Science, Artificial Intelligence, Mathematics, or a related field from a top-tier institution.
  • Experience: Minimum 7+ years of experience in AI research, with a proven track record of leading significant projects.
  • Technical Mastery: Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed systems.
  • Publications: Demonstrated ability to publish in leading AI conferences and journals.
  • Problem Solving: Exceptional ability to tackle open-ended problems and define new methodologies.
  • Communication: Excellent verbal and written communication skills for technical and executive presentations.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Reinforcement Learning Research Strategy Leadership Distributed Systems

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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