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AI Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation! We're seeking visionary AI Research Scientists to architect transformative systems that will redefine 2026's technological landscape. Our multidisciplinary teams collaborate on cutting-edge projects in quantum computing, neural networks, and generative AI. As a pioneer in ethical AI development, you'll solve complex challenges in healthcare, climate modeling, and autonomous systems while shaping the future of human-machine collaboration.

This hybrid role offers competitive benefits including equity grants, flexible scheduling, and dedicated research time. Our state-of-the-art facility in downtown San Francisco provides unparalleled resources for experimentation and collaboration with industry thought leaders.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI applications
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI frameworks addressing bias mitigation and transparency challenges
  • Collaborate with cross-functional teams to prototype AI solutions for Fortune 500 clients
  • Publish breakthrough research in top-tier AI journals and conferences
  • Mentor junior researchers and foster innovation through internal hackathons

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of research experience
  • Proven track record of publishing in NeurIPS, ICML, or equivalent venues
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Strong background in reinforcement learning or generative adversarial networks
  • Experience with quantum computing APIs (Qiskit, Cirq) preferred
  • Demonstrated ability to translate research into commercial applications
  • Excellent communication skills with technical and non-technical stakeholders

Required Skills

AI Research Deep Learning Quantum Computing Neural Networks PyTorch Reinforcement Learning Ethics in AI Generative Models Distributed Systems

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