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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer AI solutions that will define 2026 and beyond. We're seeking visionary AI Research Scientists to develop breakthrough algorithms in machine learning, quantum computing, and autonomous systems. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, where your work directly impacts global tech evolution.

Our team operates at the intersection of theoretical research and real-world application, creating the intelligent systems that will power the next decade. We offer unparalleled resources, including quantum computing clusters and petabyte-scale datasets, alongside a culture that celebrates intellectual curiosity and bold experimentation.

Responsibilities

  • Design and implement cutting-edge ML algorithms for next-gen autonomous systems
  • Lead quantum computing research projects leveraging 128+ qubit processors
  • Develop ethical AI frameworks ensuring responsible deployment of future technologies
  • Collaborate with cross-functional teams to translate research into scalable products
  • Publish findings in top-tier journals and present at premier AI conferences
  • Mentor junior researchers and foster innovation through hackathons and workshops

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum programming
  • Published research in NeurIPS, ICML, or Nature Machine Intelligence
  • Proven track record of deploying production AI systems at scale
  • Strong background in reinforcement learning and generative models
  • Experience with high-performance computing and distributed training
  • Demonstrated ability to secure research grants ($1M+)

Required Skills

Machine Learning Quantum Computing Deep Learning Reinforcement Learning PyTorch TensorFlow Research AI Ethics Autonomous Systems

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