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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

NeuroSynth Labs
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join NeuroSynth Labs at the forefront of 2026's AI revolution! We're pioneering next-generation neural networks that redefine human-computer interaction. As an AI Research Scientist, you'll architect breakthrough models for autonomous systems, predictive analytics, and ethical AI frameworks. Our state-of-the-art lab in San Francisco fosters collaboration with Nobel laureates and industry disruptors. Enjoy competitive equity packages, flexible work arrangements, and dedicated R&D budgets for your visionary projects.

Responsibilities

  • Design and implement novel deep learning architectures for edge-computing applications
  • Lead cross-functional teams to prototype AI solutions in quantum-assisted computing environments
  • Publish research in top-tier journals (NeurIPS, ICML, Nature AI) with industry impact
  • Develop ethical AI governance frameworks aligned with 2026 regulatory standards
  • Collaborate with hardware engineers to optimize neural network efficiency for quantum processors
  • Mentor junior researchers in advanced ML techniques and responsible AI development

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience)
  • 5+ years developing production-level AI systems with 99.9% reliability metrics
  • Expertise in transformer architectures, federated learning, and neuromorphic computing
  • Published record of peer-reviewed research in AI/ML with >100 citations
  • Proficiency in PyTorch, TensorFlow Quantum, and distributed computing frameworks
  • Demonstrated experience leading $1M+ research budgets and cross-disciplinary teams
  • Deep understanding of AI ethics, bias mitigation, and regulatory compliance (EU AI Act, NIST standards)

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow AI Ethics Research Leadership Distributed Systems

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