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Senior AI Researcher: 2026 Horizon Initiative

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

The Future is Now.

Nebula Systems is pioneering the infrastructure for the 2026 Horizon Initiative. We are not just predicting the future; we are architecting the neural networks that will define it. We are seeking a visionary Senior AI Researcher to lead the development of next-generation Artificial General Intelligence (AGI) models.

In this role, you will bridge the gap between theoretical quantum mechanics and practical deep learning, ensuring our systems are scalable, ethical, and ready for the demands of the mid-2020s.

Why Join Us?

  • Work on cutting-edge projects that will shape the technological landscape.
  • Competitive compensation package including equity options.
  • Flexible remote-first policy with access to state-of-the-art labs.

Responsibilities

  • Architect Future-Proof AI: Design and implement scalable deep learning architectures tailored for the 2026 technological ecosystem, including Large Language Models (LLMs) and reinforcement learning agents.
  • Quantum Integration: Collaborate with quantum computing teams to develop hybrid algorithms that leverage quantum processing units for complex problem-solving.
  • Research Leadership: Lead a team of junior researchers, setting the technical vision and driving innovation in AI ethics and safety protocols.
  • Data Strategy: Oversee the curation and training of massive datasets, ensuring high-fidelity outputs for predictive modeling.
  • Performance Optimization: Continuously refine model inference speeds and accuracy to meet real-time application requirements.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: Minimum of 5 years of experience in research roles within top-tier tech companies or academic institutions.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Kubernetes, Ray).
  • Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Soft Skills: Exceptional problem-solving abilities, strong communication skills, and a passion for the future of technology.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Artificial General Intelligence Quantum Computing NLP Distributed Systems

Ready to Take This Challenge?

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

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