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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Future Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Future Innovations Inc. at the forefront of technological evolution as we pioneer breakthroughs in artificial intelligence for 2026 and beyond. We seek visionary AI Research Scientists to develop transformative solutions that will reshape industries and human experiences. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your ideas can become reality. This role offers competitive compensation, equity, and the opportunity to work on projects that will define the next decade of AI innovation.

Responsibilities

  • Lead advanced R&D projects in generative AI, quantum machine learning, and neuromorphic computing
  • Design and implement novel neural architectures for real-time decision-making systems
  • Collaborate with cross-functional teams to integrate AI solutions into autonomous platforms
  • Publish peer-reviewed research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Develop ethical AI frameworks ensuring alignment with 2026 regulatory standards
  • Mentor junior researchers and drive open-source contributions to the AI community
  • Secure federal and private research grants for next-generation AI initiatives

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Published research in generative models, reinforcement learning, or explainable AI
  • Proficiency in high-performance computing environments (CUDA, Kubernetes)
  • Strong background in ethics, fairness, and safety of autonomous systems
  • Track record of translating research into production-scale AI applications
  • Experience securing government grants or corporate research partnerships

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Neural Networks Research Ethics

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