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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - Future Tech Innovations

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We're seeking visionary researchers to develop next-generation machine learning models that will redefine human-computer interaction. Our multidisciplinary team collaborates with quantum computing partners and neuroscientists to create adaptive AI solutions.

Work in our state-of-the-art San Francisco lab with unlimited resources, flexible schedules, and equity participation in our 2026 product roadmap. We offer comprehensive benefits including fertility coverage, mental health stipends, and sabbatical programs.

Responsibilities

  • Design and implement novel neural architectures for real-time predictive analytics
  • Lead cross-functional projects integrating quantum-resistant cryptography with AI systems
  • Publish research in top-tier journals and present at global tech conferences
  • Collaborate with hardware teams to optimize AI models for edge computing deployment
  • Mentor junior researchers and establish ethical frameworks for AI development
  • Secure patents for breakthrough algorithms in natural language processing

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Published record in NeurIPS/ICML/ICLR with citations >500
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in ethical AI development and bias mitigation
  • Experience with MLOps pipelines and production-scale AI systems
  • Ability to translate complex concepts into actionable technical strategies

Required Skills

AI Research Machine Learning Neural Networks PyTorch Quantum Computing NLP Reinforcement Learning Ethics in AI

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