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AI Research Scientist (2026 Initiative)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Labs at the forefront of the 2026 Initiative—a groundbreaking program to develop next-generation AI systems that will redefine human-machine interaction. We're seeking visionary AI Research Scientists to pioneer breakthroughs in autonomous decision-making, neural-symbolic integration, and ethical AI governance. This role offers unparalleled resources to publish in top-tier journals, collaborate with Nobel laureates, and shape the technological landscape of the decade.

Our San Francisco campus features state-of-the-art quantum computing infrastructure and a dedicated ethics sandbox for responsible innovation. You'll lead projects with global impact while receiving mentorship from industry pioneers. Compensation includes equity, flexible research budgets, and relocation assistance.

Responsibilities

  • Design and implement novel AI architectures for 2026 Initiative's core systems
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Publish 2+ peer-reviewed papers annually in NeurIPS/ICML/AAAI
  • Prototype quantum-enhanced machine learning algorithms
  • Collaborate with neuroscientists to model human cognition
  • Develop robustness protocols against adversarial AI attacks
  • Advise policymakers on AI safety standards

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years of research in deep learning or reinforcement learning
  • Publication record at top-tier ML conferences
  • Expertise in Python, PyTorch, and distributed computing
  • Strong background in AI ethics or safety research
  • Experience with quantum computing frameworks (Qiskit, Cirq)
  • Ability to translate complex concepts for technical/non-technical audiences

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Research Python PyTorch AI Ethics Distributed Systems

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