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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Shape the future of artificial intelligence with QuantumLeap Labs. We're pioneering the next frontier of cognitive computing and seeking exceptional AI Research Scientists to join our Austin-based innovation hub. As we approach 2026, the boundaries between human intelligence and machine learning are dissolving – and you'll be at the vanguard of this revolution. In this role, you'll develop groundbreaking neural architectures that will redefine how humanity interacts with technology. Our state-of-the-art facilities and collaborative environment empower you to push beyond conventional limits while solving real-world challenges in healthcare, climate science, and autonomous systems.

If you're passionate about creating the AI breakthroughs of tomorrow and thrive in an environment where curiosity is currency, QuantumLeap Labs offers unparalleled opportunities for growth and impact. Join us in building the intelligent systems that will power the 2026 ecosystem.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI applications
  • Lead cross-functional research initiatives in quantum-inspired machine learning
  • Develop scalable solutions for ethical AI deployment and bias mitigation
  • Collaborate with product teams to translate research into commercial innovations
  • Author high-impact publications and patents in top-tier AI conferences
  • Mentor junior researchers and foster an environment of scientific excellence
  • Stay ahead of emerging AI trends and contribute to strategic research roadmaps

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with advanced neural network architectures
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record of publishing in NeurIPS, ICML, or similar top-tier venues
  • Strong background in quantum computing principles or neuromorphic systems
  • Demonstrated ability to translate complex theoretical concepts into practical implementations
  • Exceptional problem-solving skills with creative approaches to AI challenges

Required Skills

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

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