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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus AI Labs at the forefront of 2026's AI revolution! We're pioneering breakthroughs in quantum machine learning and neural-semantic integration. As an AI Research Scientist, you'll architect next-generation AI systems that redefine human-computer interaction. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into reality. We value disruptive thinking and provide competitive compensation, comprehensive benefits, and a culture that celebrates innovation.

Shape the future of artificial intelligence while working with Nobel Prize-winning mentors and a diverse team of visionaries. Your work will directly impact industries from healthcare to autonomous systems, positioning you as a key architect of tomorrow's technological landscape.

Responsibilities

  • Design and implement cutting-edge AI algorithms for quantum-enhanced neural networks
  • Lead cross-functional research projects integrating natural language processing with computer vision
  • Develop ethical AI frameworks ensuring bias mitigation and transparency
  • Collaborate with hardware teams to optimize AI models for next-gen quantum processors
  • Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Mentor junior researchers and drive innovation through internal hackathons
  • Translate research prototypes into scalable commercial applications

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks (Qiskit, Cirq)
  • Published record in top-tier AI conferences (minimum 3 NeurIPS/ICML papers)
  • Strong background in ethical AI development and bias mitigation techniques
  • Experience leading cross-disciplinary AI research teams
  • Fluency in C++ for high-performance AI system optimization

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks NLP Computer Vision PyTorch TensorFlow Ethics in AI Research Leadership

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