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Senior AI Research Engineer - 2026 AGI Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join the Vanguard of the 2026 AI Revolution

Nexus Future Systems is on a mission to define the trajectory of Artificial General Intelligence. We are seeking a visionary Senior AI Research Engineer to lead our core research initiatives targeting the 2026 AGI milestone. If you are passionate about pushing the boundaries of large-scale model architectures and want to leave a lasting legacy in the tech industry, this is your opportunity.

In this role, you will not just write code; you will architect the future. You will work closely with top-tier scientists to design, train, and deploy next-generation neural networks capable of reasoning, planning, and autonomous decision-making.

Responsibilities

  • Lead Research Architecture: Design and implement novel neural network architectures specifically optimized for the 2026 roadmap, focusing on efficiency and scalability.
  • Model Training & Optimization: Spearhead the training pipelines for large-scale foundation models, utilizing distributed computing resources to achieve breakthrough performance.
  • Technical Strategy: Collaborate with product leadership to translate theoretical research into practical, deployable AI agents.
  • Publication & Patenting: Author high-impact research papers and secure patents for novel algorithms that define the industry standard for 2026.
  • Mentorship: Guide junior researchers and engineers, fostering a culture of innovation and rigorous scientific inquiry.

Qualifications

  • Education: PhD in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
  • Experience: 5+ years of experience in machine learning research, specifically in NLP or Computer Vision.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed training frameworks (Ray, Spark).
  • Problem Solving: Demonstrated ability to tackle complex, unsolved problems in AI reasoning and generalization.
  • Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders and the academic community.

Required Skills

Python PyTorch Machine Learning Deep Learning Distributed Systems NLP Research

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