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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Innovations

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

Job Description

Join Nexus AI Labs at the forefront of artificial intelligence innovation. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will define the 2026 tech landscape. You'll collaborate with world-class teams to develop next-gen AI solutions, publish groundbreaking research, and shape the future of machine learning. Our state-of-the-art facilities in San Francisco offer unparalleled resources to transform theoretical concepts into real-world applications that impact billions of lives.

Responsibilities

  • Lead cutting-edge research in advanced machine learning algorithms and neural architectures
  • Develop novel AI models for autonomous systems, natural language processing, and computer vision
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Author high-impact publications for top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Secure and manage research grants from federal agencies and industry partners
  • Mentor junior researchers and foster a culture of scientific excellence
  • Identify emerging AI trends and propose strategic research directions for 2026

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent research experience)
  • 5+ years of hands-on experience developing production AI systems
  • Deep expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
  • Proven track record of publishing at NeurIPS/ICML/ICLR or equivalent venues
  • Strong background in reinforcement learning, generative models, or multi-agent systems
  • Experience securing federal research grants (NSF, DARPA, etc.)
  • Exceptional problem-solving skills with ability to tackle undefined research challenges
  • Fluency in Python, C++, and high-performance computing environments

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Research AI Neural Networks NLP Computer Vision Reinforcement Learning

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