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Future-Tech Lead: AI Research Engineer (2026 Vision)

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027



Job Description

Shape the Future of Intelligence in 2026

Quantum Leap Dynamics is at the forefront of the next industrial revolution. We are seeking a visionary AI Research Engineer to spearhead the development of our proprietary generative models scheduled for deployment in the 2026 market cycle. You will work in a high-performance environment focused on scalability, ethical AI, and the next generation of neural architectures.

Join a team that isn't just building software; we are architecting the foundation of tomorrow's digital economy.

Why Join Us?

  • Work on cutting-edge GenAI models.
  • Competitive equity package and benefits.
  • Flexible remote-first culture with HQ in San Francisco.

Responsibilities

  • Design and implement scalable neural network architectures for 2026-ready applications.
  • Optimize large language models (LLMs) for inference speed and energy efficiency.
  • Collaborate with cross-functional teams to translate research findings into production-grade software.
  • Conduct rigorous testing and validation of AI safety and alignment protocols.
  • Stay ahead of the curve on emerging trends in Quantum Computing and AI convergence.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in deep learning, machine learning, or data science.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Demonstrated ability to publish in top-tier conferences (NeurIPS, ICML, etc.).

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow Cloud Computing AI Ethics

Ready to Take This Challenge?

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

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