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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthroughs in AI for 2026 and beyond. We're seeking visionary AI Research Scientists to architect next-generation neural networks and ethical AI frameworks. Our interdisciplinary team collaborates with Fortune 500 partners to solve humanity's grandest challenges through quantum computing integration and autonomous systems innovation. Enjoy cutting-edge resources, flexible hybrid work, and a culture where your curiosity fuels our collective future.

Why QuantumLeap?
- Work on projects shaping 2026's technological landscape
- $10k annual R&D stipend for personal innovation
- Equity in our AI patent portfolio
- Mentorship from Turing Award recipients

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era applications
  • Lead cross-functional R&D teams in developing ethical AI governance frameworks
  • Collaborate with quantum computing specialists to create hybrid AI models
  • Author peer-reviewed publications and patents in AI safety and alignment
  • Translate theoretical breakthroughs into production-ready systems for healthcare/autonomy sectors
  • Present findings at global AI summits (NeurIPS, ICML) influencing 2026 tech standards

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent research experience)
  • 5+ years developing production-level neural networks with TensorFlow/PyTorch
  • Published research in top-tier AI/ML conferences (NeurIPS, CVPR, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proven experience with quantum machine learning algorithms
  • Strong background in AI ethics and bias mitigation techniques
  • Ability to communicate complex concepts to technical and non-technical stakeholders

Required Skills

Deep Learning Quantum Computing Neural Networks AI Ethics Reinforcement Learning TensorFlow PyTorch Research Leadership

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