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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Research Scientist - 2026 Vision

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

Job Description

Join NeuroFuture Labs at the forefront of 2026's technological revolution! We're pioneering next-generation AI systems that will redefine human-machine interaction. As a key member of our elite research team, you'll architect breakthrough solutions in neural networks, quantum computing integration, and predictive analytics. Enjoy unparalleled creative freedom with unlimited research budget, state-of-the-art lab facilities, and collaboration with Nobel laureates. Our Silicon Valley headquarters offers competitive equity packages, comprehensive wellness programs, and flexible hybrid work arrangements.

Responsibilities

  • Lead R&D initiatives in advanced machine learning algorithms for autonomous systems
  • Develop scalable neural architectures for 2026-era cognitive computing
  • Collaborate with quantum computing teams to hybridize classical and quantum ML models
  • Publish groundbreaking research in top-tier AI conferences and journals
  • Mentor junior researchers and cross-functional engineering teams
  • Secure external funding through NSF and DARPA proposals
  • Drive ethical AI frameworks for next-generation autonomous decision-making

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent industry experience)
  • 5+ years in production-level ML system deployment
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Published record at NeurIPS/ICML/ICLR or equivalent tier conferences
  • Proficiency in PyTorch, TensorFlow, and high-performance computing frameworks
  • Demonstrated experience with MLOps and CI/CD for ML pipelines
  • Strong background in ethical AI governance and bias mitigation
  • Entrepreneurial mindset with ability to translate research into commercial impact

Required Skills

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

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