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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
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Shape the future of artificial intelligence with QuantumLeap Labs, where innovation meets impact. We're pioneering next-gen AI systems that will redefine industries by 2026, and we need visionary researchers to lead this charge. Join our diverse team of world-class scientists in Austin's thriving tech ecosystem, where your work directly influences breakthrough applications in healthcare, climate modeling, and autonomous systems.

Our state-of-the-art facility offers unparalleled resources for computational research, collaborative workspaces, and direct partnerships with leading academic institutions. Enjoy competitive compensation, equity, comprehensive benefits, and flexible work arrangements designed for optimal productivity and work-life balance.

Responsibilities

  • Design and implement novel AI algorithms for next-generation predictive systems
  • Lead research initiatives in quantum machine learning and neural network optimization
  • Collaborate with cross-functional teams to develop scalable AI solutions
  • Publish findings in top-tier journals and present at international conferences
  • Drive ethical AI frameworks ensuring responsible development by 2026
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and quantum computing
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Strong background in high-performance computing and distributed systems
  • Proven ability to translate research into practical applications
  • Experience with interdisciplinary research in healthcare or sustainability

Required Skills

Machine Learning Quantum Computing Deep Learning Python TensorFlow Research Neural Networks High-Performance Computing AI Ethics

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