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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026's most pressing challenges. We're seeking an AI Research Scientist to architect the next generation of intelligent systems that will redefine human-machine collaboration. Our cross-disciplinary teams work in state-of-the-art labs with access to quantum computing resources and petabyte-scale datasets. This role offers unparalleled opportunities to publish groundbreaking research and translate theoretical innovations into real-world applications.

Our culture values intellectual curiosity and disruptive thinking, offering competitive benefits including equity, flexible work arrangements, and dedicated innovation time. Help us build the intelligent infrastructure that will power the next decade of human progress.

Responsibilities

  • Design and implement advanced machine learning models for next-generation autonomous systems
  • Lead research initiatives in explainable AI and ethical algorithm development
  • Collaborate with quantum computing teams to hybridize classical and quantum neural networks
  • Develop novel approaches to multimodal data fusion across sensory and contextual streams
  • Publish high-impact research in top-tier AI/ML conferences and journals
  • Translate theoretical innovations into scalable production-ready systems
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of industry experience
  • Proven expertise in deep learning architectures (transformers, GNNs, diffusion models)
  • Strong publication record in NeurIPS, ICML, or equivalent venues
  • Proficiency in Python, PyTorch/TensorFlow, and distributed computing frameworks
  • Experience with large-scale model training (10B+ parameters)
  • Understanding of ethical AI frameworks and bias mitigation techniques
  • Ability to translate complex research concepts into practical applications

Required Skills

Machine Learning Deep Learning Python PyTorch Quantum Computing Neural Networks Research Ethics Large Language Models

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