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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer (2026 Foresight)

QuantumLeap Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future of artificial intelligence at QuantumLeap Systems. We're seeking visionary Senior AI Research Engineers to pioneer breakthrough technologies for 2026 and beyond. Join our elite team in Austin, Texas, where innovation meets impact. You'll develop cutting-edge AI solutions that redefine industries while enjoying unparalleled career growth and competitive compensation.

Our Austin campus offers state-of-the-art facilities, flexible work arrangements, and a culture that celebrates intellectual curiosity. We provide comprehensive benefits including equity, wellness stipends, and continuous learning opportunities. Be part of the next technological revolution.

Responsibilities

  • Design and implement advanced AI/ML models for next-generation applications
  • Lead research initiatives in quantum computing integration and neural architecture optimization
  • Collaborate with cross-functional teams to deploy scalable AI solutions
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior engineers and foster innovation through technical workshops
  • Develop proprietary algorithms for real-time data processing and predictive analytics
  • Ensure ethical AI implementation and bias mitigation frameworks

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency with PyTorch, TensorFlow, and distributed computing frameworks
  • Published research in NeurIPS, ICML, or equivalent tier conferences
  • Strong background in quantum machine learning and neuromorphic computing
  • Experience deploying production AI systems at scale (10M+ users)
  • Demonstrated ability to translate complex research into commercial applications

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Distributed Systems Reinforcement Learning

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