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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Researcher - 2026 Vision

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary Senior AI Researcher to architect next-generation artificial intelligence systems that will redefine industries. This role offers unparalleled opportunities to work with cutting-edge quantum computing interfaces, neural network optimization, and ethical AI frameworks in a collaborative, future-focused environment.

Our Austin-based innovation hub provides state-of-the-art facilities and competitive benefits including equity, flexible work arrangements, and dedicated R&D budget. Be part of the team shaping humanity's technological trajectory.

Responsibilities

  • Design and implement advanced machine learning models for predictive analytics and autonomous systems
  • Lead research initiatives in quantum-enhanced neural networks and federated learning
  • Collaborate with cross-functional teams to deploy AI solutions in healthcare, logistics, and climate modeling
  • Develop ethical AI governance frameworks aligned with 2026 regulatory standards
  • Mentor junior researchers and publish breakthrough findings in top-tier journals
  • Drive innovation through competitive benchmarking against global AI leaders

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and MLOps
  • Published research in NeurIPS/ICML/AAAI with 20+ citations
  • Proficiency in PyTorch, TensorFlow, and quantum computing APIs
  • Experience with large-scale distributed systems and cloud-native deployments
  • Strong background in AI ethics and responsible AI frameworks
  • Proven ability to translate complex technical concepts to stakeholders

Required Skills

Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow MLOps AI Ethics Predictive Analytics Research Leadership

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