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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to architect next-generation machine learning systems that will redefine industries. Our cross-disciplinary team leverages quantum computing, neural networks, and predictive analytics to solve humanity's most complex challenges.

In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to develop autonomous AI frameworks, ethical governance protocols, and human-AI symbiotic interfaces. We offer unparalleled resources—including our 10,000-qubit quantum lab—and a culture where breakthrough ideas become reality. Your work will directly influence how billions interact with technology in the coming decade.

Responsibilities

  • Lead research initiatives in generative AI, federated learning, and causal inference
  • Design and deploy scalable AI systems with <0.01% error tolerance
  • Pioneer ethical AI frameworks for 2026 regulatory compliance
  • Collaborate with quantum computing teams to accelerate model training
  • Author peer-reviewed publications and patent novel AI methodologies
  • Mentor researchers in emerging paradigms like neuromorphic computing
  • Translate theoretical research into production-ready applications

Qualifications

  • PhD in Computer Science/AI with 5+ years industry research experience
  • Published work in NeurIPS/ICML/CVPR or equivalent tier conferences
  • Expertise in PyTorch/TensorFlow with 10M+ parameter model deployment
  • Strong background in reinforcement learning and multi-agent systems
  • Proficiency in quantum computing frameworks (Qiskit, Cirq)
  • Experience with federated learning and differential privacy
  • Demonstrated ability to secure $1M+ in research grants

Required Skills

Machine Learning Deep Learning Quantum Computing Research Python TensorFlow Ethics Neural Networks

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