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AI Research Scientist - 2026 Vision Lab

Nexus Futura
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Futura's pioneering 2026 Vision Lab, where we're architecting the next generation of artificial intelligence solutions. As an AI Research Scientist, you'll drive breakthroughs in autonomous systems, quantum computing integration, and ethical AI frameworks. Our multidisciplinary team operates at the intersection of neuroscience, machine learning, and predictive analytics to redefine human-machine collaboration.

We offer a dynamic startup environment with competitive equity packages, flexible remote work options, and cutting-edge research resources. Your work will directly shape the technological landscape of the coming decade.

Responsibilities

  • Lead research initiatives in advanced AI architectures for 2026-era applications
  • Develop novel algorithms for real-time predictive modeling and autonomous decision-making
  • Collaborate with quantum computing teams to hybridize classical and quantum neural networks
  • Author peer-reviewed publications and patents in emerging AI paradigms
  • Mentor junior researchers and cross-functional technical teams
  • Establish ethical frameworks for next-generation AI systems
  • Secure and manage research partnerships with academic institutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of applied research in AI/ML with publication record in top-tier venues
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Strong background in reinforcement learning and generative adversarial networks
  • Experience with quantum computing APIs or hybrid quantum-classical systems
  • Proven ability to translate research into production-scale solutions
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning Reinforcement Learning Neural Networks Predictive Modeling Scientific Computing

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