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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Research Scientist (Future Tech Focus)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary AI/ML Research Scientist to architect next-generation intelligent systems that will redefine industries. Our cross-functional teams collaborate in state-of-the-art labs to transform theoretical concepts into scalable innovations.

At Nexus, you'll work with quantum computing infrastructure, neural-symbolic AI frameworks, and ethical AI governance protocols to develop autonomous systems with human-level reasoning capabilities. This role offers unparalleled opportunities to shape the future of artificial intelligence while solving complex challenges in healthcare, climate modeling, and human augmentation.

Responsibilities

  • Design and implement novel AI/ML architectures for autonomous decision-making systems
  • Lead research in neural-symbolic integration and quantum machine learning algorithms
  • Collaborate with cross-functional teams to prototype 2026-era AI applications
  • Develop ethical AI frameworks ensuring alignment with human values
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior researchers and drive innovation through hackathons
  • Translate theoretical models into production-ready solutions

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Proficiency in ethical AI governance and alignment research
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with large-scale distributed computing infrastructure
  • Demonstrated ability to translate research into commercial applications

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural-Symbolic AI Reinforcement Learning PyTorch TensorFlow Research Ethics Large Language Models

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