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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026)

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

Job Description

Join Nexus Innovations at the forefront of artificial intelligence revolution! We're seeking visionary AI Research Scientists to develop groundbreaking solutions that will redefine industries by 2026. Our multidisciplinary team operates at the intersection of quantum computing, neural networks, and ethical AI deployment. This is your opportunity to shape the future of intelligent systems while working with cutting-edge infrastructure and world-class collaborators.

Our culture champions innovation, intellectual curiosity, and work-life balance. We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Help us build the AI ecosystem that will power the next decade of human progress.

Responsibilities

  • Design and implement novel deep learning architectures for next-gen AI applications
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI frameworks ensuring bias mitigation and regulatory compliance
  • Collaborate with cross-functional teams to translate research into production systems
  • Author high-impact publications for top-tier AI conferences and journals
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 3+ years of research experience with published work in AI/ML conferences
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in reinforcement learning or generative models
  • Proficiency in implementing ethical AI bias mitigation techniques
  • Experience with cloud-based AI infrastructure (AWS/GCP/Azure)
  • Excellent communication skills for technical and non-technical audiences

Required Skills

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

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