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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of 2026's technological revolution! We're pioneering AI systems that will redefine industries, and we need visionary researchers to shape tomorrow's breakthroughs. Our state-of-the-art San Francisco hub offers unparalleled resources and collaborative freedom to explore uncharted territories in machine learning and quantum computing.

What you'll achieve: Architect next-gen AI frameworks, publish groundbreaking research in top-tier journals, and directly influence product roadmaps that will impact billions. We invest heavily in your growth with dedicated R&D budgets, conference sponsorships, and patent support.

Responsibilities

  • Lead advanced research in generative AI, quantum machine learning, and autonomous systems
  • Develop scalable prototypes for real-world deployment in 2026+ ecosystems
  • Collaborate with cross-functional teams to translate research into market-ready solutions
  • Author whitepapers and patents on novel AI methodologies
  • Mentor junior researchers and contribute to technical strategy
  • Stay ahead of emerging trends through continuous learning and industry engagement

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Published work in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in transformer architectures, reinforcement learning, or quantum computing
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Strong track record of deploying research into production environments
  • Experience with ethical AI frameworks and bias mitigation techniques
  • Ability to articulate complex concepts to technical and non-technical stakeholders

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning PyTorch Reinforcement Learning Natural Language Processing Ethics in AI

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