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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Cohort)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation as we prepare for our 2026 research cohort. We're seeking pioneering AI Research Scientists to develop next-generation models that will redefine human-machine collaboration. This is your opportunity to shape the future of AI in a cutting-edge environment with unlimited resources and visionary leadership.

Our 2026 program focuses on ethical AI, quantum-optimized neural networks, and human-centric machine learning. You'll collaborate with Nobel laureates and industry pioneers while solving challenges in healthcare, climate science, and autonomous systems. We offer unparalleled resources including quantum computing access and a $500M research fund.

What sets us apart? Our commitment to meaningful innovation and work-life integration. Enjoy flexible schedules, unlimited learning stipends, and quarterly research retreats in global innovation hubs. Your work will directly impact how billions interact with technology in the coming decade.

Responsibilities

  • Lead groundbreaking research in generative AI, reinforcement learning, and multimodal systems
  • Design and implement novel neural architectures for 2026-era applications
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Author and present peer-reviewed publications at top-tier AI conferences
  • Develop ethical frameworks for responsible AI deployment
  • Mentor junior researchers and foster collaborative innovation culture
  • Partner with industry leaders to identify emerging AI opportunities

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of research experience in advanced AI/ML systems
  • Proven track record of publications at NeurIPS, ICML, or similar conferences
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Strong background in ethical AI development and bias mitigation
  • Experience with quantum computing or neuromorphic systems preferred
  • Exceptional problem-solving skills and ability to work autonomously

Required Skills

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

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