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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we architect the future of artificial intelligence. We're seeking visionary AI Research Scientists to pioneer breakthrough solutions that will define the decade ahead. This role offers unparalleled opportunity to shape next-generation AI systems while collaborating with world-class experts in a dynamic, forward-thinking environment.

Our San Francisco campus features state-of-the-art facilities and flexible work arrangements designed for peak innovation. You'll lead cutting-edge research projects with direct impact on industries ranging from autonomous systems to quantum computing integration.

Responsibilities

  • Design and implement novel AI architectures for 2026-era applications
  • Lead multi-disciplinary research teams in developing quantum-enhanced machine learning models
  • Collaborate with product teams to translate research into scalable solutions
  • Author breakthrough publications in top-tier AI conferences and journals
  • Develop ethical frameworks for next-generation autonomous systems
  • Secure federal and private research funding for pioneering projects
  • Mentor junior researchers in advanced AI methodologies

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in NeurIPS, ICML, or equivalent tier-1 conferences
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proven track record of shipping production-level AI systems
  • Strong programming skills in Python, PyTorch, and distributed computing
  • Deep understanding of AI ethics and responsible deployment practices
  • Experience securing $1M+ in research funding

Required Skills

AI Research Machine Learning Quantum Computing Transformers Reinforcement Learning PyTorch Ethics Research Funding

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