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Senior AI Research Scientist - Project 2026

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

Job Description

At Nebula Core Systems, we are building the infrastructure for the future. Our Project 2026 initiative represents our most ambitious roadmap yet, focusing on the convergence of advanced artificial intelligence, quantum-inspired algorithms, and next-generation neural architectures. We are looking for a brilliant Senior AI Research Scientist to lead our R&D efforts and drive the innovation that will define the technology landscape of the decade.

In this high-impact role, you will be responsible for pioneering new methodologies in adaptive learning and autonomous decision-making systems. You will work in a collaborative, fast-paced environment where your work will directly influence the core products we ship to enterprise clients globally.

Key Benefits:

  • Competitive base salary with performance-based bonuses.
  • Equity stake in a high-growth tech startup.
  • Comprehensive health, dental, and vision insurance.

Responsibilities

  • Lead the research, design, and implementation of proprietary Machine Learning models for Project 2026.
  • Architect scalable neural networks capable of processing high-dimensional data streams with sub-millisecond latency.
  • Collaborate closely with software engineering teams to translate theoretical research into production-ready APIs and services.
  • Mentor junior researchers and data scientists, fostering a culture of continuous learning and innovation.
  • Conduct rigorous experiments to validate new algorithms, ensuring robustness and accuracy.
  • Stay ahead of industry trends and contribute to academic or industry white papers regarding future AI trajectories.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
  • Minimum of 5+ years of experience in AI/ML research or a similar R&D role in a high-tech environment.
  • Deep proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Proven track record of publishing in top-tier conferences or holding relevant patents.
  • Excellent problem-solving skills and ability to thrive in ambiguous, fast-moving projects.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow Quantum Computing NLP Deep Learning

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