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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
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect the next generation of intelligent systems that will redefine human-machine interaction. Our cross-functional teams collaborate in cutting-edge facilities to develop quantum-encrypted neural networks and autonomous decision frameworks. This role offers unparalleled opportunities to publish breakthrough research and shape the future of artificial intelligence while working with industry-leading mentors and resources.

Responsibilities

  • Design and implement novel deep learning architectures for next-gen AI applications
  • Lead quantum-computing-optimized algorithm development for real-time data processing
  • Collaborate with robotics teams to embed ethical AI frameworks into autonomous systems
  • Author peer-reviewed publications in top-tier AI research conferences
  • Develop proprietary NLP models for cross-lingual knowledge extraction
  • Mentor junior researchers in advanced ML techniques and responsible AI practices
  • Prototype AI solutions for climate modeling and sustainable resource optimization

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Published research in top-tier conferences (NeurIPS, ICML, ICLR)
  • Strong background in quantum computing fundamentals or quantum machine learning
  • Proficiency in ethical AI frameworks and bias mitigation techniques
  • Experience with federated learning and differential privacy
  • Track record of deploying production-scale AI systems at scale
  • Strong communication skills for technical and non-technical stakeholders

Required Skills

Machine Learning Deep Learning Quantum Computing NLP PyTorch TensorFlow Research Ethics Distributed Systems

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