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Senior AGI Research Engineer 2026

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

Job Description

Are you ready to architect the next leap in human-machine collaboration?

Nexus Future Labs is at the forefront of the 2026 technological revolution. We are seeking a visionary Senior AGI Research Engineer to spearhead the development of self-improving artificial general intelligence systems. If you are passionate about pushing the boundaries of neural architectures and ethical AI, this is your opportunity to define the future.

In this role, you will lead high-impact research initiatives, mentor a team of elite engineers, and build the foundational models that will power the next generation of intelligent applications.

Responsibilities

  • Spearhead Research: Lead the design and implementation of novel deep learning algorithms focused on emergent AGI capabilities.
  • Model Training: Oversee the training and fine-tuning of large-scale language and vision models using proprietary datasets.
  • Team Leadership: Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
  • Cross-Functional Collaboration: Work closely with product teams to translate cutting-edge research into scalable production systems.
  • Ethical AI: Ensure all models adhere to strict safety guidelines and ethical standards regarding bias and transparency.
  • Publication & Patents: Contribute to academic literature and secure intellectual property for novel methodologies.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
  • Experience: 5+ years of experience in deep learning, machine learning, or artificial intelligence research.
  • Technical Skills: Expert proficiency in Python, PyTorch, or TensorFlow; proven experience with transformer architectures and LLMs.
  • Mathematical Maturity: Strong background in linear algebra, calculus, probability, and optimization theory.
  • Problem Solving: Demonstrated ability to tackle complex, undefined problems with innovative solutions.
  • Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.

Required Skills

Artificial Intelligence Machine Learning Deep Learning PyTorch TensorFlow LLMs NLP Python Research Algorithms Neural Networks

Ready to Take This Challenge?

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