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AI Research Scientist (2026 Vision)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 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 models in quantum-enhanced machine learning and ethical AI frameworks. Collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco hub, where your innovations could power industries from autonomous healthcare to climate modeling.

We offer unparalleled resources, including access to quantum computing clusters and a $50M annual research budget. Shape the future while enjoying competitive equity, unlimited learning stipends, and a culture that celebrates intellectual audacity.

Responsibilities

  • Design and implement novel neural architectures leveraging quantum-inspired algorithms
  • Lead cross-functional projects to integrate AI solutions in high-stakes domains (healthcare, climate, defense)
  • Develop ethical AI governance frameworks aligned with 2026 regulatory landscapes
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor a team of PhD researchers in cutting-edge methodologies
  • Collaborate with industry partners to translate research into commercial applications

Qualifications

  • PhD in Computer Science, AI, Quantum Computing, or related field
  • 5+ years experience in advanced ML model development (transformers, GANs, RL)
  • Published record in NeurIPS/ICML/AAAI or equivalent tier conferences
  • Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
  • Proficiency in distributed ML systems (PyTorch, TensorFlow, JAX)
  • Deep understanding of AI ethics and bias mitigation techniques
  • Track record of deploying production-grade AI systems at scale

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Ethics Python TensorFlow PyTorch Distributed Systems

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