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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

Nexus AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of technological evolution as we pioneer breakthroughs for 2026 and beyond. We're seeking visionary AI Research Scientists to architect the next generation of intelligent systems that will redefine industries. Our state-of-the-art lab in San Francisco fosters innovation through cross-functional collaboration with leading experts in machine learning, quantum computing, and human-computer interaction. This role offers unparalleled opportunities to shape the future of AI while working on projects with global impact.

Responsibilities

  • Design and implement cutting-edge AI/ML models for autonomous systems and predictive analytics
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Collaborate with engineering teams to prototype and deploy AI solutions for real-world applications
  • Publish breakthrough research in top-tier conferences and journals
  • Mentor junior researchers and foster a culture of scientific excellence
  • Secure research grants and partnerships with academic institutions
  • Develop ethical frameworks for responsible AI deployment in 2026+ ecosystems

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of industry research experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent venues
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
  • Strong background in reinforcement learning, NLP, or computer vision
  • Familiarity with quantum computing principles and emerging hardware architectures
  • Demonstrated ability to translate research into scalable production systems
  • Experience securing research funding through NSF/DARPA or corporate programs
  • Exceptional problem-solving skills with a passion for ethical innovation

Required Skills

Machine Learning Artificial Intelligence Deep Learning Quantum Computing Research Python TensorFlow PyTorch Reinforcement Learning NLP Computer Vision

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