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AI Research Scientist (2026)

NeuraVision Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join NeuraVision Labs at the forefront of artificial intelligence innovation as we shape the future of 2026. We're seeking visionary AI Research Scientists to pioneer breakthroughs in generative AI, neural networks, and human-computer interaction. Our multidisciplinary team collaborates on cutting-edge projects that redefine technological boundaries while maintaining ethical AI standards. You'll work in our state-of-the-art San Francisco lab, equipped with NVIDIA DGX systems and quantum computing resources, to develop scalable AI solutions that impact billions of lives.

Why NeuraVision? We offer competitive equity packages, unlimited PTO, and dedicated research time for personal projects. Our culture values intellectual curiosity and celebrates failure as a stepping stone to innovation. Enjoy daily catered meals, on-site wellness centers, and flexible hybrid work arrangements while contributing to projects that will define the next decade of technological advancement.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead research initiatives in multimodal learning and explainable AI frameworks
  • Collaborate with quantum computing teams to hybridize classical and quantum neural networks
  • Publish findings in top-tier AI journals and present at international conferences
  • Mentor junior researchers and establish new benchmark datasets for 2026 AI capabilities
  • Develop ethical AI governance protocols and bias mitigation strategies
  • Secure research grants and partnerships with leading academic institutions

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Published research in NeurIPS, ICML, or equivalent tier-1 conferences
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Proficiency in GPU programming (CUDA) and high-performance computing
  • Strong background in reinforcement learning and generative adversarial networks
  • Experience with MLOps pipelines and AI deployment at scale
  • Demonstrated ability to translate research into commercial applications

Required Skills

Artificial Intelligence Machine Learning Neural Networks PyTorch TensorFlow Reinforcement Learning Quantum Computing MLOps Research Generative AI

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