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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the future of artificial intelligence as a pioneering AI Research Scientist at QuantumLeap Labs. Join our elite team developing next-generation AI systems that will redefine industries by 2026. We're seeking visionary researchers to push the boundaries of machine learning, neural networks, and quantum computing integration. Our Austin innovation hub offers unparalleled resources for transforming theoretical breakthroughs into scalable solutions.

Collaborate with Nobel laureates and Turing Award winners in a culture that celebrates intellectual curiosity. Enjoy competitive equity packages, flexible research timelines, and dedicated GPU clusters. Your work will directly influence how humanity interacts with intelligent systems in the coming decade.

Responsibilities

  • Design and implement novel AI architectures for autonomous decision-making systems
  • Lead cross-functional projects integrating quantum algorithms with classical ML frameworks
  • Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Develop ethical frameworks for responsible AI deployment in high-stakes environments
  • Mentor junior researchers and foster collaborative innovation within the AI ecosystem
  • Translate theoretical models into production-ready systems with industry partners

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch/TensorFlow)
  • Published record in top-tier AI/ML conferences with 50+ citations
  • Expertise in reinforcement learning, transformers, and generative models
  • Strong background in quantum computing principles and algorithms
  • Proven ability to lead complex research projects from conception to publication
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Machine Learning Deep Learning Quantum Computing Python PyTorch TensorFlow Research AI Ethics Reinforcement Learning Generative AI

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