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AI Research Scientist (2026 Vision)

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're pioneering autonomous AI systems that will redefine industries, and we need visionary minds to architect the future. As an AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation neural networks and quantum-inspired algorithms. Our Austin-based innovation hub offers unparalleled resources, including quantum computing clusters and ethical AI frameworks. If you thrive at the intersection of theory and breakthrough implementation, this is your moment to shape humanity's trajectory.

Responsibilities

  • Design and implement novel AI architectures for autonomous decision-making systems
  • Lead quantum-inspired machine learning research targeting 2026 industry challenges
  • Develop ethical AI frameworks ensuring responsible deployment of advanced systems
  • Collaborate with cross-functional teams to prototype and validate research concepts
  • Publish breakthrough findings in top-tier journals and conferences
  • Mentor junior researchers and drive innovation through hackathons
  • Secure federal grants and corporate partnerships for frontier research

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Published record in NeurIPS/ICML/AAAI with 10+ peer-reviewed papers
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks (Qiskit)
  • Demonstrated ability to translate theoretical models into scalable production systems
  • Experience securing DARPA/NIST grants or corporate R&D funding
  • Strong background in AI ethics and responsible AI development practices
  • Track record of mentoring researchers to breakthrough innovations

Required Skills

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

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