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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

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

Job Description

Join NeuraVision Labs at the forefront of technological evolution for 2026 and beyond. We're pioneering next-generation AI systems that will redefine human-computer interaction. As an AI Research Scientist, you'll architect solutions for autonomous systems, ethical AI frameworks, and quantum-optimized neural networks. Our dynamic environment fosters cross-disciplinary collaboration with robotics, biotech, and climate science teams to build sustainable, equitable futures.

We offer competitive compensation, flexible work arrangements, and unparalleled opportunities to shape tomorrow's innovations today.

Responsibilities

  • Lead research initiatives in generative AI, explainable machine learning, and edge computing
  • Develop novel algorithms for real-time decision-making in autonomous systems
  • Collaborate with ethics committees to design bias-mitigation frameworks
  • Publish breakthrough research in top-tier AI/ML conferences and journals
  • Prototype and validate AI solutions using quantum computing infrastructure
  • Mentor junior researchers and foster cross-functional innovation
  • Secure federal and private research grants for 2026-era AI initiatives

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years developing production-grade AI systems with measurable impact
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Published record in NeurIPS, ICML, or equivalent tier conferences
  • Proficiency in Python, PyTorch, TensorFlow, and quantum computing frameworks
  • Demonstrated experience with MLOps and AI deployment at scale
  • Strong understanding of AI ethics, bias mitigation, and regulatory compliance

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Quantum Computing AI Ethics Research Data Science MLOps Reinforcement Learning

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