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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to architect intelligent systems that redefine human-machine interaction. Our cutting-edge lab collaborates with Fortune 500 partners to develop ethical AI frameworks, quantum-optimized algorithms, and autonomous decision engines. This role offers unparalleled access to our $50M R&D budget and industry-leading compute infrastructure.

What You'll Achieve: Design next-gen AI models, publish breakthrough research in top-tier journals, and shape industry standards for responsible AI deployment. Your work will directly impact healthcare diagnostics, climate modeling, and personalized education systems.

Responsibilities

  • Architect novel neural network architectures for 2026-era applications
  • Lead cross-functional teams in implementing AI solutions across verticals
  • Develop ethical AI frameworks ensuring bias mitigation and transparency
  • Collaborate with quantum computing teams to hybridize classical and quantum AI
  • Publish peer-reviewed research and present at global AI conferences
  • Optimize models for edge deployment in IoT and autonomous systems
  • Mentor junior researchers and foster innovation through hackathons

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years developing production-scale AI systems using TensorFlow/PyTorch
  • Published research in NeurIPS, ICML, or equivalent tier-1 venues
  • Expertise in federated learning, differential privacy, and explainable AI
  • Strong programming skills in Python, C++, and quantum assembly languages
  • Experience with MLOps tools and large-scale distributed computing
  • Demonstrated ability to translate research into commercial applications

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks TensorFlow PyTorch Ethics in AI MLOps Python C++ Federated Learning Differential Privacy

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