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AI Research Scientist (2026)

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll develop breakthrough algorithms for autonomous systems, quantum computing integration, and ethical AI frameworks. Our state-of-the-art facility in San Francisco offers unparalleled resources for research and innovation.

We're seeking visionaries who thrive at the intersection of theoretical physics and applied machine learning. Collaborate with Nobel laureates and Turing Award winners in an environment where your ideas can shape humanity's digital future. Our comprehensive benefits package includes equity, unlimited learning stipends, and flexible hybrid work arrangements.

Responsibilities

  • Design novel neural architectures for 2026-era autonomous decision-making systems
  • Lead quantum-inspired AI algorithm development using QML frameworks
  • Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Collaborate with ethics teams to implement bias mitigation and transparency protocols
  • Develop multimodal AI systems integrating vision, language, and sensor fusion
  • Mentor junior researchers through our 2026 Fellowship Program
  • Secure patents for proprietary AI methodologies and computational approaches

Qualifications

  • PhD in Computer Science, Mathematics, or Physics with 3+ years of research experience
  • Published record in top-tier AI/ML conferences or journals (NeurIPS, Nature ML)
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proficiency in quantum computing frameworks (Qiskit, Cirq) and quantum machine learning
  • Strong programming skills in Python, PyTorch, TensorFlow, and CUDA
  • Demonstrated experience with large-scale distributed computing (Spark, Kubernetes)
  • Understanding of ethical AI frameworks and responsible innovation principles

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning PyTorch TensorFlow Neural Networks Ethics in AI Reinforcement Learning Distributed Computing

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