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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
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of artificial intelligence innovation as we pioneer breakthrough technologies for the 2026 digital landscape. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine industries and human-computer interaction. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into real-world solutions. Be part of a multidisciplinary team collaborating on quantum computing integration, neuromorphic systems, and ethical AI frameworks. We provide competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.

Responsibilities

  • Design and implement cutting-edge machine learning algorithms for 2026-era applications
  • Lead research initiatives in quantum-enhanced neural networks and adaptive AI systems
  • Collaborate with cross-functional teams to translate research into deployable solutions
  • Develop ethical AI frameworks and bias mitigation strategies for future technologies
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure external funding through competitive grant proposals and industry partnerships

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing principles
  • Proven track record of publishing in top-tier AI/ML conferences (NeurIPS, ICML)
  • Strong background in natural language processing and computer vision
  • Familiarity with MLOps pipelines and scalable AI infrastructure
  • Experience with ethical AI governance frameworks and responsible AI practices
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Machine Learning Deep Learning Quantum Computing Natural Language Processing Computer Vision PyTorch TensorFlow MLOps Ethical AI

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