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AI Research Scientist - 2026 Technologies

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. Our multidisciplinary team is revolutionizing AI integration, quantum computing applications, and sustainable tech ecosystems. This role offers unparalleled opportunity to shape tomorrow's digital landscape while working with industry-leading experts in state-of-the-art facilities.

We're seeking visionary researchers who thrive at the intersection of artificial intelligence, advanced materials science, and human-computer interaction. You'll collaborate with Fortune 500 partners to develop groundbreaking prototypes that will define the next decade of technological advancement.

Responsibilities

  • Lead cutting-edge research in AI-driven quantum computing applications
  • Design and implement next-gen neural networks for 2026-era computational challenges
  • Develop sustainable tech solutions with measurable environmental impact metrics
  • Collaborate with cross-functional teams to translate research into market-ready innovations
  • Author white papers and patents for breakthrough methodologies
  • Mentor junior researchers and foster a culture of scientific excellence
  • Present findings at global tech summits and industry conferences

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field (or equivalent experience)
  • 5+ years in AI research with published papers in top-tier journals
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proficiency in Python, TensorFlow, and PyTorch with 10M+ parameter model deployment
  • Experience with edge computing and IoT ecosystem integration
  • Demonstrated ability to secure federal research grants (NSF, DARPA)
  • Strong background in ethical AI development and bias mitigation
  • Fluency in emerging tech standards (IEEE 2026, ISO/IEC 27001:2022)

Required Skills

AI Research Quantum Computing Machine Learning Neural Networks TensorFlow PyTorch Qiskit IoT Edge Computing Ethics in AI

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