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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthroughs in artificial intelligence for 2026. We're seeking visionary AI Research Scientists to develop transformative solutions that will redefine industries. Collaborate with world-class researchers in our state-of-the-art Austin facility, where innovation meets impact. Your work will directly shape the future of autonomous systems, quantum-computing integration, and ethical AI frameworks.

We offer competitive equity packages, flexible work arrangements, and unparalleled opportunities to publish in top-tier journals. Join us in building tomorrow's reality today.

Responsibilities

  • Lead cutting-edge research in quantum-enhanced machine learning and next-gen neural architectures
  • Design and implement novel AI frameworks for autonomous decision-making systems
  • Collaborate with cross-functional teams to translate research into scalable production solutions
  • Author high-impact publications and patents in AI ethics and explainable AI domains
  • Develop computational models for real-time anomaly detection in complex datasets
  • Mentor junior researchers and contribute to our open-source AI initiatives
  • Secure and manage research partnerships with leading academic institutions

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Proven expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Strong publication record at NeurIPS, ICML, or equivalent top-tier venues
  • Experience deploying ML systems at scale in cloud environments (AWS/GCP)
  • Demonstrated knowledge of AI governance frameworks and bias mitigation techniques
  • Exceptional problem-solving skills and ability to work with ambiguous, complex challenges

Required Skills

Machine Learning Quantum Computing TensorFlow PyTorch Reinforcement Learning AI Ethics Distributed Systems Research Publication

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