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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer AI solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to transform theoretical concepts into breakthrough applications that will redefine industries. Our state-of-the-art incubator in San Francisco offers unparalleled resources and collaborative freedom to explore the uncharted territories of artificial intelligence. This role combines deep research excellence with product innovation, offering the rare opportunity to shape humanity's technological trajectory.

At Nexus, you'll work alongside Nobel laureates and Turing Award winners in an environment that celebrates intellectual curiosity and disruptive thinking. We provide competitive equity packages, unlimited R&D budgets, and flexible work arrangements designed for peak productivity. Your research will directly influence our roadmap for quantum-AI integration, ethical autonomous systems, and next-generation human-computer interfaces.

Responsibilities

  • Lead cutting-edge research in generative AI, quantum machine learning, and neuro-symbolic systems
  • Develop novel algorithms for multi-modal AI architectures with <1ms inference latency
  • Architect ethical AI frameworks ensuring compliance with 2026 global AI governance standards
  • Collaborate with product teams to translate research prototypes into production-ready solutions
  • Publish findings in top-tier AI journals (NeurIPS, ICML, ICLR) and present at global tech summits
  • Mentor junior researchers and establish new benchmarks in AI safety and alignment
  • Secure patents for breakthrough methodologies in explainable AI and federated learning

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of industry research experience
  • Proven track record of deploying production AI systems serving >10M users
  • Expertise in transformer architectures, reinforcement learning, and distributed training
  • Proficiency in PyTorch/TensorFlow with experience in quantum computing frameworks (Qiskit, Cirq)
  • Published ≥3 papers at NeurIPS/ICML/ICLR in the last 3 years
  • Strong background in AI ethics and alignment research with deployment experience
  • Experience securing ≥$1M in government/industry research grants
  • Fluency in Python/C++ with expertise in low-latency optimization techniques

Required Skills

AI Research Machine Learning Deep Learning Quantum Computing Ethical AI PyTorch TensorFlow Reinforcement Learning Distributed Systems Algorithm Design

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