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AI Research Scientist 2026

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we pioneer AI solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation artificial intelligence systems that will redefine industries. Our Austin-based hub combines cutting-edge research with real-world application in a collaborative, future-focused environment.

As part of our elite research division, you'll collaborate with Nobel laureates and industry disruptors to solve complex challenges in quantum computing, neural networks, and autonomous systems. We offer competitive compensation, unlimited PTO, and a budget for annual tech conferences worldwide.

Responsibilities

  • Design and implement novel AI algorithms for quantum-enhanced machine learning models
  • Lead cross-functional research teams in developing ethical AI frameworks for 2026 deployment
  • Publish breakthrough research in top-tier AI/ML journals and conferences
  • Translate theoretical research into scalable production systems with 99.99% reliability
  • Mentor PhD candidates and junior researchers in emerging AI paradigms
  • Secure $2M+ in annual research grants from government and private sector partners
  • Collaborate with futurists to roadmap AI's societal impact through 2030

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven track record of publishing in NeurIPS, ICML, or equivalent tier-1 venues
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Strong proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Demonstrated experience leading $500K+ research projects with measurable impact
  • Deep understanding of AI ethics and responsible AI development principles
  • Patents or peer-reviewed publications in AI/ML (minimum 3 citations per paper)

Required Skills

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

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