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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we shape 2026's AI landscape. We're seeking visionary AI Research Scientists to pioneer breakthroughs in autonomous systems, quantum computing integration, and ethical AI frameworks. Our interdisciplinary team collaborates in state-of-the-art labs to solve humanity's most complex challenges.

As a key architect of tomorrow's solutions, you'll leverage cutting-edge infrastructure including quantum processors and neuromorphic chips. We offer competitive equity, flexible hybrid work, and dedicated R&D budgets for unconventional experimentation. This role directly influences our product roadmap for 2026 and beyond.

Responsibilities

  • Design and implement next-gen AI architectures for autonomous decision-making systems
  • Lead quantum-AI hybrid algorithm development for exponential computational gains
  • Establish ethical frameworks for bias mitigation in generative models
  • Publish breakthrough research in top-tier AI/quantum journals
  • Mentor cross-functional teams in emerging AI paradigms
  • Collaborate with hardware teams to co-design neuromorphic computing interfaces
  • Shape 2026 product strategy through horizon-scanning research

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing (or equivalent research experience)
  • 5+ years developing production-grade AI systems with measurable impact
  • Published research in top-tier conferences (NeurIPS, ICML, etc.)
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Proven ability to translate theoretical models into scalable implementations
  • Strong background in AI ethics and responsible AI frameworks
  • Experience with quantum computing platforms (Qiskit, Cirq) preferred

Required Skills

Machine Learning Quantum Computing Reinforcement Learning Ethics AI Neuromorphic Systems Transformer Models Python TensorFlow

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