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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll architect breakthrough solutions in quantum machine learning and neural-symbolic integration. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications.

We provide competitive compensation, equity packages, and comprehensive benefits including flexible work arrangements and dedicated innovation time. Collaborate with Nobel laureates and industry disruptors in an environment where your ideas shape tomorrow's landscape.

Responsibilities

  • Design and implement novel quantum ML algorithms for 2026-era computing architectures
  • Lead cross-functional teams in developing explainable AI frameworks for high-stakes domains
  • Publish groundbreaking research in top-tier AI/ML conferences and journals
  • Translate complex mathematical models into scalable production systems
  • Identify emerging AI trends and propose strategic research directions
  • Mentor junior researchers and foster a culture of innovation

Qualifications

  • PhD in Computer Science, Mathematics, or Physics with 3+ years of AI research experience
  • Expertise in quantum computing frameworks (Qiskit, Cirq) and tensor networks
  • Publication record in NeurIPS/ICML/ICLR or equivalent top-tier venues
  • Proficiency in Python, PyTorch, and distributed computing environments
  • Strong background in theoretical ML: Bayesian inference, causal inference, or generative models
  • Demonstrated ability to translate research into commercial applications
  • Experience securing competitive research grants (NSF, DARPA, etc.)

Required Skills

Quantum Computing Machine Learning Python PyTorch Research Mathematics AI Ethics Distributed Systems

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