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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - Future Technologies

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Research Scientist to architect breakthrough algorithms that will redefine industries. This role blends cutting-edge machine learning with human-centric innovation to solve complex global challenges. Collaborate with world-class engineers in a culture that values curiosity, agility, and transformative impact.

Why Nexus Innovations? We offer competitive equity packages, flexible work arrangements, and access to our state-of-the-art Future Lab. Our teams operate on a 4-day work week model, ensuring optimal productivity and work-life harmony.

Responsibilities

  • Design and implement novel AI architectures for predictive modeling and autonomous systems
  • Lead cross-functional research initiatives in quantum computing integration and neural-symbolic AI
  • Publish high-impact research in top-tier journals/conferences (NeurIPS, ICML, etc.)
  • Translate theoretical breakthroughs into scalable production prototypes
  • Mentor junior researchers and drive innovation workshops
  • Collaborate with product teams to align research with market-ready solutions
  • Secure research grants and maintain strategic academic partnerships

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Proven expertise in transformer architectures, reinforcement learning, and generative models
  • Publication record at premier AI conferences (minimum 5 peer-reviewed papers)
  • Proficiency in PyTorch/TensorFlow, distributed computing (Ray, Spark), and cloud platforms (AWS/GCP)
  • Strong background in ethics frameworks for AI deployment and bias mitigation
  • Experience leading open-source projects with 500+ GitHub stars
  • Demonstrated ability to communicate complex technical concepts to non-technical stakeholders

Required Skills

Artificial Intelligence Machine Learning Deep Learning PyTorch TensorFlow Reinforcement Learning Generative AI Quantum Computing Neural-Symbolic AI Distributed Computing AWS GCP Research Ethics Academic Publishing

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