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AI Research Scientist - 2026 Vision Lab

2026 Vision Lab
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join 2026 Vision Lab, pioneers of next-generation AI systems that will redefine human-machine interaction. We're seeking an AI Research Scientist to architect breakthrough algorithms for our autonomous cognition platform. This role offers unparalleled opportunity to shape the AI landscape of tomorrow.

About 2026 Vision Lab: We're building the foundational AI infrastructure for 2026 and beyond. Our multidisciplinary team combines neuroscience, quantum computing, and machine learning to create systems that learn, adapt, and reason like humans.

What You'll Impact: Your work will directly influence how AI systems understand context, make ethical decisions, and collaborate with humans in high-stakes environments.

Responsibilities

  • Design and implement novel neural architectures for contextual understanding and ethical reasoning
  • Lead research projects in federated learning and quantum-enhanced AI systems
  • Develop frameworks for real-time multimodal data fusion (text, visual, sensor)
  • Create AI safety protocols for autonomous decision-making systems
  • Publish groundbreaking research in top-tier AI/ML conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Collaborate with neuroscientists to develop brain-inspired learning algorithms

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and causal inference
  • Published research in NeurIPS, ICML, or equivalent tier conferences
  • Proficiency with PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in ethics and AI alignment principles
  • Experience with quantum computing APIs (Qiskit, Cirq) preferred
  • Track record of translating research into production systems

Required Skills

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

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