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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of AI innovation as we shape the technological landscape of 2026. We're seeking visionary AI Research Scientists to develop cutting-edge machine learning models that will redefine industries. You'll collaborate with world-class engineers and researchers in our state-of-the-art San Francisco facility, leveraging quantum computing and neural architecture search to solve humanity's most complex challenges. Our team pioneers breakthroughs in generative AI, autonomous systems, and ethical AI frameworks.

At Nexus Labs, we offer competitive compensation, unlimited learning opportunities, and a culture that values intellectual curiosity. Your work will directly impact products used by millions and contribute to the next wave of technological advancement.

Responsibilities

  • Design and implement novel deep learning architectures for next-gen AI systems
  • Lead research initiatives in generative AI and autonomous decision-making
  • Develop ethical AI frameworks ensuring responsible deployment of advanced models
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Publish findings in top-tier AI conferences and journals
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in developing production-level AI systems
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Proven track record of publishing in NeurIPS, ICML, or similar venues
  • Strong background in neural architecture search and quantum computing applications
  • Experience with MLOps and large-scale model deployment
  • Demonstrated ability to lead cross-functional research initiatives

Required Skills

AI Research Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Neural Architecture Search MLOps Generative AI Ethics in AI

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