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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution to architect the future of AI. We're pioneering breakthroughs that will redefine human-computer interaction by 2026. As a key member of our research team, you'll develop novel algorithms and systems that push the boundaries of machine intelligence. Our collaborative environment fosters innovation through cross-disciplinary projects with robotics, quantum computing, and neurotech experts. You'll have access to state-of-the-art infrastructure and mentorship from industry pioneers while shaping the ethical frameworks for next-generation AI.

Responsibilities

  • Design and implement advanced AI models for autonomous systems and predictive analytics
  • Lead research initiatives in explainable AI and human-machine collaboration
  • Develop scalable solutions for real-time data processing and edge computing
  • Collaborate with engineering teams to prototype and validate research concepts
  • Publish findings in top-tier journals and present at international conferences
  • Drive ethical AI governance frameworks and bias mitigation strategies
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Proven expertise in deep learning frameworks (PyTorch/TensorFlow) and NLP
  • Strong publication record in NeurIPS/ICML/ICLR or equivalent venues
  • Experience with distributed computing and cloud platforms (AWS/GCP/Azure)
  • Proficiency in Python, C++, and high-performance optimization techniques
  • Demonstrated ability to translate research into production-ready systems
  • Knowledge of quantum computing principles or neuromorphic systems preferred

Required Skills

Machine Learning Deep Learning Natural Language Processing Quantum Computing AI Ethics Distributed Systems Python PyTorch TensorFlow AWS

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