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Senior AI Research Scientist - 2026 Horizon

QuantumCore Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

The Future is Now. QuantumCore Systems is pioneering the 2026 Horizon initiative, a revolutionary research project focused on bridging the gap between Artificial General Intelligence (AGI) and advanced Quantum computing architectures. We are seeking a visionary Senior AI Research Scientist to lead our team in architecting the next generation of neural networks.

In this role, you will not just be writing code; you will be defining the algorithms that will govern autonomous systems, predictive modeling, and deep learning frameworks for the year 2026 and beyond. If you are passionate about pushing the boundaries of what is possible in AI and possess a deep understanding of distributed systems, we want to hear from you.

Why Join Us?

  • Work on cutting-edge 2026 Horizon technology.
  • Competitive compensation and equity package.
  • Remote-first culture with flexible working hours.

Responsibilities

  • Lead Research Initiatives: Spearhead the development of novel machine learning models specifically tailored for the 2026 Horizon architecture.
  • Algorithm Optimization: Design and implement high-performance algorithms capable of processing petabytes of data in real-time.
  • Model Training & Deployment: Oversee the full lifecycle of AI models, from training data preparation to deployment in production environments.
  • Technical Mentorship: Guide a team of junior researchers and data scientists, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Work closely with hardware engineers to optimize inference speeds on next-gen quantum processors.
  • Patent & Publication: Author technical papers and secure patents for proprietary AI methodologies.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field.
  • Experience: Minimum 5 years of professional experience in AI/ML research or a similar technical role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
  • Quantum Knowledge: Familiarity with quantum computing concepts (Qiskit, Cirq) is highly preferred.
  • Problem Solving: Proven track record of solving complex, unstructured problems using statistical and mathematical methods.
  • Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow CUDA Machine Learning Deep Learning Quantum Computing C++ NLP Neural Networks

Ready to Take This Challenge?

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