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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer - 2026 Vision

Nebula Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the trajectory of Artificial General Intelligence (AGI) by 2026?

Nebula Horizon AI is seeking a visionary Senior AI Research Engineer to lead the development of next-generation autonomous systems. We are not just building models for today; we are architecting the infrastructure for the future. In this role, you will push the boundaries of Machine Learning, specifically focusing on Neuromorphic Computing and Recursive Self-Improvement algorithms.

Why join us?
We offer a competitive compensation package, equity packages, and the opportunity to work with world-class researchers. If you want to be at the forefront of the AI revolution and shape the technological landscape of 2026, apply today.

Responsibilities

  • Lead Research Initiatives: Spearhead the development of novel Deep Learning architectures aimed at achieving AGI benchmarks by 2026.
  • Model Optimization: Architect and optimize large-scale neural networks for low-latency inference on edge devices and quantum processors.
  • Cross-Functional Collaboration: Partner with software engineering teams to integrate cutting-edge research into scalable production environments.
  • Paper Publication: Author and present high-impact research papers at top-tier conferences (NeurIPS, ICML, ICLR).
  • Talent Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
  • Risk Assessment: Conduct rigorous safety and ethical audits on AI models to ensure alignment with human values.

Qualifications

  • Education: PhD in Computer Science, Mathematics, Physics, or a related field, with a focus on AI/ML.
  • Experience: 5+ years of professional experience in Deep Learning research and production-level software engineering.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA. Experience with LLMs and Transformer architectures is required.
  • Algorithm Design: Strong background in numerical optimization, stochastic processes, and reinforcement learning.
  • Innovation: A proven track record of patenting inventions or publishing breakthrough research in AI.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Computer Vision CUDA Reinforcement Learning Quantum Computing Research

Ready to Take This Challenge?

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

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