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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Research Scientist - 2026 Vision

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus AI Labs at the forefront of technological evolution as we pioneer the next generation of artificial intelligence solutions designed for 2026 and beyond. We're seeking a visionary Lead AI Research Scientist to architect breakthrough models that will redefine industries and human-computer interaction. This role offers unparalleled opportunity to shape the future in our state-of-the-art research facility in the heart of San Francisco's tech ecosystem.

Responsibilities

  • Lead end-to-end development of novel AI architectures for autonomous systems and predictive analytics
  • Drive research in quantum machine learning and neuromorphic computing paradigms
  • Collaborate with cross-functional teams to implement AI solutions in healthcare and sustainability sectors
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and foster innovation through quarterly hackathons
  • Secure $2M+ in annual research grants from industry partners and government initiatives
  • Develop ethical AI frameworks aligned with 2026 global regulatory standards

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and multi-agent systems
  • Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks
  • Proven track record of deploying production-scale AI models with measurable impact
  • Strong background in ethical AI governance and bias mitigation techniques
  • Experience securing DoE or NSF research grants preferred
  • Fluency in MLOps and cloud-native AI deployment (AWS/GCP/Azure)

Required Skills

Machine Learning Deep Learning Quantum Computing NLP Computer Vision Python TensorFlow PyTorch Research Ethics

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