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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
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're pioneering next-generation AI systems that will redefine industries, and we need visionary research scientists to lead this transformative journey. Our Austin-based innovation hub offers unparalleled resources and a culture that thrives on bold ideas. If you're passionate about pushing the boundaries of artificial intelligence and shaping the future of human-machine collaboration, this is your moment. Competitive compensation, equity, and relocation support included.

Responsibilities

  • Design and implement cutting-edge AI/ML algorithms for autonomous systems
  • Lead research initiatives in quantum-enhanced machine learning architectures
  • Collaborate with cross-functional teams to deploy prototypes in production environments
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior researchers and drive innovation through hackathons and internal challenges
  • Develop ethical frameworks for responsible AI deployment in 2026-era applications
  • Secure federal and private grants for next-generation AI projects

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing principles
  • Proven track record of publishing in NeurIPS, ICML, or equivalent tier venues
  • Experience with large-scale distributed training and MLOps pipelines
  • Strong background in reinforcement learning and multi-agent systems
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to translate research into commercial applications

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Deep Learning Research Python TensorFlow PyTorch Reinforcement Learning MLOps

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