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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect next-generation machine learning systems that will redefine industries. You'll collaborate with Nobel laureates and Silicon Valley visionaries in our state-of-the-art facility, where breakthrough ideas become reality. This role offers unparalleled resources to transform theoretical concepts into scalable innovations.

Our dynamic team thrives on intellectual curiosity and collaborative disruption. With 98% innovation retention rate and 40% annual growth, Nexus provides the perfect launchpad for your career trajectory.

Responsibilities

  • Design and implement cutting-edge deep learning models for autonomous systems
  • Lead cross-functional teams to develop ethical AI frameworks for 2026 deployment
  • Publish top-tier research in AI/ML conferences and peer-reviewed journals
  • Translate complex algorithms into production-ready solutions at scale
  • Collaborate with quantum computing teams to optimize hybrid AI architectures
  • Identify emerging tech trends and their commercial applications
  • Mentor junior researchers and patent breakthrough innovations

Qualifications

  • PhD in Machine Learning, Computer Science, or related field
  • 5+ years of experience in neural network architecture design
  • Proven track record of publishing at NeurIPS/ICML/ICLR
  • Expertise in PyTorch, TensorFlow, and distributed training frameworks
  • Strong background in reinforcement learning and NLP
  • Experience with MLOps and cloud deployment (AWS/GCP)
  • Demonstrated ability to translate research into commercial products
  • Published work on ethical AI or bias mitigation techniques

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Reinforcement Learning NLP MLOps Distributed Computing Quantum AI

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