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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus AI Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus AI Labs at the forefront of artificial intelligence innovation. We're seeking visionary AI Research Scientists to develop transformative solutions for 2026 and beyond. Collaborate with world-class teams to push the boundaries of machine learning, natural language processing, and autonomous systems. Our Austin hub offers state-of-the-art facilities and a culture where breakthrough ideas thrive. Shape the future of AI while enjoying competitive compensation, comprehensive benefits, and flexible work arrangements.

Responsibilities

  • Design and implement novel AI algorithms for next-generation applications
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop scalable AI solutions for healthcare, climate tech, and autonomous systems
  • Publish groundbreaking research in top-tier AI conferences and journals
  • Mentor junior researchers and foster cross-functional innovation
  • Translate theoretical breakthroughs into practical commercial applications
  • Stay at the cutting edge of emerging AI paradigms and ethical frameworks

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Published research in NeurIPS, ICML, or equivalent top-tier conferences
  • Strong programming skills in Python, C++, and high-performance computing
  • Experience with MLOps pipelines and production AI deployment
  • Understanding of AI ethics, fairness, and responsible AI principles
  • Proven ability to lead complex research projects from concept to prototype
  • Passion for solving humanity's most pressing challenges through AI

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Neuromorphic Systems NLP Computer Vision MLOps Research Ethics

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