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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Technologies at the forefront of innovation as we redefine the boundaries of artificial intelligence. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will shape the next decade. Our cutting-edge lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world solutions. Collaborate with Nobel laureates and industry pioneers to develop quantum AI systems, autonomous neural networks, and ethical AI frameworks. This is your opportunity to leave an indelible mark on humanity's technological evolution.

Responsibilities

  • Design and implement novel machine learning architectures for next-gen AI systems
  • Lead quantum computing research initiatives to accelerate AI training processes
  • Develop ethical AI governance frameworks ensuring responsible deployment
  • Pioneer cross-modal AI systems integrating vision, language, and sensor data
  • Collaborate with robotics teams to embed advanced perception capabilities
  • Publish research in top-tier AI/ML conferences and journals
  • Mentor junior researchers and foster innovation through hackathons

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in quantum machine learning and neural-symbolic integration
  • Mastery of PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with MLOps pipelines for large-scale AI deployments
  • Demonstrated ability to translate research into commercial products
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

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

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