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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
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's AI revolution. We're pioneering breakthroughs in autonomous systems and human-machine collaboration, seeking visionary researchers to redefine tomorrow's technological landscape. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture that values intellectual curiosity and bold innovation. This role represents a rare opportunity to shape the future of AI while enjoying competitive compensation and comprehensive benefits.

Responsibilities

  • Design and execute cutting-edge research in advanced neural networks and quantum computing applications
  • Lead cross-functional teams to prototype and deploy AI solutions for autonomous vehicles and smart infrastructure
  • Develop novel algorithms for ethical AI governance and bias mitigation frameworks
  • Collaborate with global academic institutions to publish breakthrough research in top-tier journals
  • Translate theoretical concepts into scalable production systems with real-world impact
  • Mentor junior researchers and drive innovation through internal hackathons and tech talks
  • Secure and manage research grants from federal and private sector partners

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of industry research experience
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks
  • Deep understanding of transformer architectures, reinforcement learning, and causal inference
  • Proven ability to translate research into production-level systems at scale
  • Experience with ethical AI frameworks and responsible deployment practices
  • Strong track record of securing research funding and leading multidisciplinary teams
  • Preference for candidates with publications in Nature or Science journals

Required Skills

AI Machine Learning Deep Learning Neural Networks Quantum Computing Python TensorFlow PyTorch Research Autonomous Systems

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