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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution. We're pioneering the next wave of AI breakthroughs that will define 2026 and beyond. As an AI Research Scientist, you'll collaborate with world-class experts to develop transformative solutions in machine learning, quantum computing, and human-AI interaction. Our state-of-the-art lab in San Francisco offers unparalleled resources for innovation, including access to quantum processors and petabyte-scale datasets. We offer competitive equity packages, flexible work arrangements, and a commitment to your professional growth through our annual research sabbatical program. Help us build the future of artificial intelligence.

Responsibilities

  • Lead cutting-edge research in generative AI, neural networks, and quantum machine learning
  • Develop novel algorithms to solve complex computational challenges in 2026 tech landscapes
  • Publish high-impact research in top-tier AI conferences and journals
  • Collaborate with engineering teams to translate research prototypes into production systems
  • Mentor junior researchers and contribute to our open-source AI frameworks
  • Identify emerging ethical implications of advanced AI systems and develop mitigation strategies

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of industry research experience
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing APIs
  • Publication record at NeurIPS, ICML, or equivalent top-tier AI conferences
  • Strong background in natural language processing and computer vision
  • Experience with large-scale distributed computing and GPU/TPU optimization
  • Demonstrated ability to bridge theoretical research with practical implementation
  • Familiarity with AI ethics frameworks and responsible AI development practices

Required Skills

Machine Learning Deep Learning Quantum Computing Natural Language Processing Python TensorFlow PyTorch Research Ethics

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