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Lead AI Research Architect: 2026 Roadmap

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join the Architects of the Future

Nebula Dynamics is seeking a visionary Lead AI Research Architect to spearhead our groundbreaking initiatives for the 2026 Roadmap. We are not just building software; we are defining the trajectory of artificial intelligence for the next decade. You will be at the forefront of developing General Artificial Intelligence (AGI) frameworks, ensuring our systems are scalable, ethical, and revolutionary.

As a key member of our elite R&D division, you will bridge the gap between theoretical machine learning and practical deployment, setting the technical standards that will define our industry for years to come.

Responsibilities

  • Define and execute the technical vision for the 2026 AI Roadmap, focusing on breakthroughs in Natural Language Processing and autonomous systems.
  • Lead a high-performance team of research scientists and engineers to prototype and validate novel machine learning architectures.
  • Collaborate with cross-functional stakeholders to translate complex research findings into scalable product features.
  • Publish high-impact research papers and contribute to the global AI community, establishing Nebula Dynamics as a thought leader.
  • Establish best practices for model training, evaluation, and deployment to ensure robustness and fairness.
  • Identify emerging trends and technologies in the AI landscape to keep the 2026 roadmap ahead of the curve.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in machine learning research, with at least 3 years in a leadership or architect role.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or shipping production-level AI systems.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing systems.
  • Strong understanding of AI ethics, safety, and the responsible development of advanced AI systems.
  • Excellent communication skills, capable of articulating complex technical concepts to diverse audiences.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Research Leadership AGI Natural Language Processing Distributed Systems

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