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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking visionary AI Research Scientists to architect the next generation of autonomous systems, quantum-enhanced algorithms, and ethical AI frameworks. In this role, you'll pioneer breakthroughs that redefine human-machine interaction while ensuring responsible innovation. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into scalable solutions.

What You'll Experience:

  • Collaborate with Nobel laureates and Turing Award winners
  • Access quantum computing infrastructure and neuromorphic hardware
  • Shape industry-wide AI ethics standards
  • Competitive equity package in a pre-IPO unicorn

Responsibilities

  • Lead research on next-gen neural architectures for 2026-era applications
  • Develop novel quantum machine learning algorithms for real-time data processing
  • Design ethical AI governance frameworks for autonomous systems
  • Secure $1M+ in research grants through NSF and DARPA partnerships
  • Mentor cross-functional teams in implementing research breakthroughs
  • Publish in top-tier journals (Nature AI, Science Robotics)
  • Collaborate with futurists to forecast 2030+ technology paradigms

Qualifications

  • PhD in Computer Science, Quantum Computing, or equivalent field
  • 3+ years of industry research with 15+ AI/ML publications
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq)
  • Proven track record of translating research to production systems
  • Deep understanding of AGI safety and alignment techniques
  • Experience with neuromorphic computing (Loihi, TrueNorth)
  • Strong background in theoretical computer science
  • Published work in Nature/Science journals preferred

Required Skills

AI Research Quantum Computing Neural Networks Machine Learning AGI Safety Quantum Algorithms Neuromorphic Computing Ethics AI Research Leadership

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