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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution. We're pioneering breakthroughs in quantum computing and neural networks to solve humanity's grand challenges for 2026 and beyond. As an AI Research Scientist, you'll architect the next generation of intelligent systems that will redefine industries. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where innovation thrives.

We value bold thinkers who push boundaries. You'll collaborate with Nobel laureates and industry disruptors to develop novel algorithms and scalable AI frameworks. Your work will directly impact projects ranging from autonomous systems to climate modeling.

Responsibilities

  • Design and implement cutting-edge machine learning models for predictive analytics and autonomous decision-making
  • Lead cross-functional teams in translating theoretical research into production-ready AI solutions
  • Publish breakthrough findings in top-tier journals and conferences (NeurIPS, ICML, etc.)
  • Develop ethical AI frameworks ensuring responsible deployment of advanced systems
  • Collaborate with quantum computing teams to hybridize classical and quantum neural networks
  • Secure research grants and partnerships with leading academic institutions
  • Mentor junior researchers and drive innovation through hackathons and internal R&D initiatives

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years of post-doc experience
  • Proven track record of publishing in top-tier AI/ML conferences (5+ papers)
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Strong background in reinforcement learning, natural language processing, or computer vision
  • Experience with quantum computing platforms (Qiskit, Cirq) or quantum machine learning
  • Proficiency in high-performance computing environments and GPU optimization
  • Demonstrated ability to secure research funding (NSF, DARPA, or corporate grants)
  • Exceptional problem-solving skills with passion for ethical AI development

Required Skills

AI Research Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Reinforcement Learning Natural Language Processing Computer Vision Distributed Computing Quantum Machine Learning GPU Optimization Research Grant Writing

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