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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer the next wave of AI-driven solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to architect groundbreaking models that will redefine industries. Collaborate with world-class teams in our state-of-the-art San Francisco lab, where your work will directly shape the future of autonomous systems, quantum-computing hybrids, and neural interface technologies.

This role offers unparalleled opportunities to publish research, secure patents, and lead initiatives with global impact. Our culture thrives on intellectual curiosity, rapid prototyping, and ethical AI development. Benefits include equity grants, unlimited learning stipends, and flexible hybrid work arrangements.

Responsibilities

  • Design and implement novel neural network architectures for 2026-era computational challenges
  • Lead cross-functional R&D projects integrating quantum computing with classical AI models
  • Develop breakthrough algorithms for real-time multimodal data processing (vision, audio, sensor fusion)
  • Author peer-reviewed research papers and secure intellectual property for commercial applications
  • Mentor junior researchers and establish best practices for ethical AI deployment
  • Collaborate with product teams to translate theoretical models into scalable production systems

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and quantum machine learning
  • Proficiency in PyTorch/TensorFlow and high-performance computing frameworks
  • Strong track record of deploying production-level AI systems at scale
  • Demonstrated ability to secure research grants or corporate funding
  • Experience with ethical AI frameworks and bias mitigation strategies

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Reinforcement Learning AI Ethics Research

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