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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation. We're seeking visionary AI Research Scientists to develop breakthrough solutions that will redefine industries by 2026. Our multidisciplinary team operates at the intersection of quantum computing, neural networks, and predictive analytics to solve humanity's most complex challenges. With state-of-the-art facilities and unparalleled resources, you'll pioneer next-generation AI systems that power autonomous systems, personalized medicine, and sustainable energy solutions.

At Nexus Labs, we foster a culture of intellectual curiosity and collaborative excellence. You'll work alongside Nobel laureates and Turing Award winners in an environment that encourages bold experimentation and rapid prototyping. Our commitment to ethical AI development ensures your innovations create measurable positive impact while maintaining rigorous safety standards.

Responsibilities

  • Design and implement novel machine learning architectures for multi-modal data processing
  • Lead research initiatives in quantum-enhanced neural networks and federated learning
  • Develop predictive models for climate change mitigation and resource optimization
  • Collaborate with robotics engineers to integrate AI with autonomous systems
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior researchers and drive innovation through hackathons and prototyping sprints
  • Ensure all AI systems comply with evolving ethical frameworks and regulatory standards

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Published record in NeurIPS, ICML, or similar top-tier AI conferences
  • Strong background in reinforcement learning and generative adversarial networks
  • Proficiency in quantum computing concepts and quantum machine learning
  • Demonstrated ability to translate research into scalable production systems
  • Experience with ethical AI frameworks and bias mitigation techniques
  • Exceptional problem-solving skills for complex, interdisciplinary challenges

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research AI Ethics Data Science Reinforcement Learning Generative AI Distributed Systems

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