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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision Initiative

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the 2026 Vision Initiative—a groundbreaking program redefining artificial intelligence's role in human progress. We're seeking visionary AI Research Scientists to architect next-generation neural networks and ethical AI frameworks that will shape humanity's digital future.

In this high-impact role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum-resistant algorithms and autonomous systems. Our state-of-the-art San Francisco campus offers unparalleled resources, including a 500-qubit quantum computing cluster and generative AI sandbox environments.

Competitive compensation includes equity grants, unlimited wellness stipends, and relocation assistance for top-tier talent. This is your chance to build the AI infrastructure for 2026 and beyond.

Responsibilities

  • Lead research in ethical AI alignment and explainable machine learning frameworks
  • Develop prototype systems for autonomous decision-making in complex environments
  • Collaborate with quantum computing teams to hybridize classical and quantum neural networks
  • Author breakthrough publications in top-tier AI conferences (NeurIPS, ICML)
  • Mentor junior researchers and cross-functional engineering teams
  • Architect scalable ML pipelines processing petabyte-scale real-world datasets
  • Participate in policy development for responsible AI deployment frameworks

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Proven track record of publishing in top-tier AI/ML conferences
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency with PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in AI ethics, fairness, and bias mitigation techniques
  • Experience with quantum computing algorithms or hybrid AI systems
  • Demonstrated ability to translate research into production-ready solutions

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Quantum Computing AI Ethics Reinforcement Learning Research Distributed Systems Generative AI

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