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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

FutureHorizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join FutureHorizon Inc. at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We seek an exceptional AI Research Scientist to develop cutting-edge machine learning models that will redefine industries. Our collaborative environment empowers you to tackle complex challenges in natural language processing, computer vision, and generative AI while working with Fortune 500 partners shaping tomorrow's landscape.

As a key member of our R&D team, you'll leverage our state-of-the-art GPU clusters and collaborate with Nobel Prize-winning advisors to create breakthrough applications. We offer comprehensive benefits including equity, flexible work arrangements, and dedicated R&D funding for your innovative projects.

Responsibilities

  • Design and implement advanced ML architectures for next-generation autonomous systems
  • Lead research initiatives in quantum-entangled neural networks and federated learning
  • Develop ethical AI frameworks aligned with 2026 regulatory standards
  • Collaborate with cross-functional teams to prototype AI-driven solutions
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers in emerging AI paradigms
  • Secure intellectual property for novel AI methodologies

Qualifications

  • PhD in Machine Learning, Computer Science, or related field (or equivalent experience)
  • 5+ years of experience in deep learning and neural network optimization
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Proven track record of publishing at NeurIPS/ICML/ICLR conferences
  • Strong background in reinforcement learning and multi-agent systems
  • Familiarity with ethical AI governance frameworks (EU AI Act, NIST RMF)
  • Proficiency in C++/Python and high-performance computing environments
  • Experience with MLOps pipelines and model deployment at scale

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Quantum Computing NLP Computer Vision Reinforcement Learning MLOps Python C++ Distributed Systems Ethical AI

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