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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist 2026

Nexus AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus AI Solutions at the forefront of artificial intelligence innovation. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will redefine 2026 and beyond. Collaborate with world-class teams in our state-of-the-art San Francisco lab to develop next-generation AI systems for autonomous systems, quantum computing, and human-machine symbiosis.

As a key architect of tomorrow's digital landscape, you'll transform theoretical concepts into scalable solutions that impact billions. We offer unparalleled resources, competitive compensation, and a culture where your curiosity fuels progress. Shape the future with us.

Responsibilities

  • Lead cutting-edge AI research in neural networks, quantum machine learning, and generative AI
  • Design and implement scalable algorithms for autonomous decision-making systems
  • Collaborate with cross-functional teams to integrate AI solutions into next-gen products
  • Publish breakthrough research in top-tier AI conferences and journals
  • Develop prototypes and proofs-of-concept for emerging AI applications
  • Mentor junior researchers and foster innovation through hackathons and brainstorming
  • Stay current with rapid AI advancements and adapt research directions accordingly

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience in deep learning frameworks (TensorFlow, PyTorch)
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Expertise in quantum computing algorithms and hybrid AI-quantum systems
  • Strong programming skills in Python, C++, and distributed computing
  • Proven ability to translate complex research into production-ready solutions
  • Experience with large-scale AI model deployment and optimization
  • Demonstrated passion for ethical AI development and responsible innovation

Required Skills

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

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