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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
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we shape the future of AI-driven solutions. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum computing, neural networks, and autonomous systems for 2026 and beyond. Our collaborative environment empowers you to transform theoretical concepts into revolutionary applications that redefine human-machine interaction.

As part of our elite research division, you'll collaborate with Nobel laureates and industry disruptors in state-of-the-art laboratories. We offer competitive compensation, unlimited R&D budgets, and equity in a company valued at $2B+.

Responsibilities

  • Design and implement cutting-edge AI algorithms for next-generation autonomous systems
  • Lead quantum computing research initiatives to solve complex optimization problems
  • Develop neural network architectures achieving human-level cognitive capabilities
  • Collaborate with cross-functional teams to integrate research prototypes into production systems
  • Publish breakthrough findings in top-tier AI/ML journals and conferences
  • Mentor junior researchers and drive innovation through hackathons and internal challenges

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent research experience)
  • 5+ years in applied AI research with published papers in NeurIPS/ICML/ICLR
  • Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit/Cirq)
  • Proven track record of deploying production-level AI systems at scale
  • Strong background in reinforcement learning and generative adversarial networks
  • Experience with distributed computing and high-performance optimization
  • Passion for ethical AI development and responsible innovation

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Reinforcement Learning Generative AI

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