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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Innovations at the forefront of AI revolution. We're seeking a visionary AI Research Scientist to pioneer breakthrough technologies that will shape 2026 and beyond. In this role, you'll design next-generation machine learning models, collaborate with elite researchers, and transform theoretical concepts into scalable solutions. Our Austin headquarters features cutting-edge labs, flexible work arrangements, and a culture where curiosity drives innovation.

At Nexus, we empower our team to tackle humanity's greatest challenges through AI. You'll work on projects ranging from autonomous systems to quantum computing applications, with resources including NVIDIA DGX SuperPODs and dedicated research budgets. We prioritize your growth through sponsored conferences, patent support, and mentorship from industry pioneers.

Responsibilities

  • Develop novel AI architectures and algorithms for next-generation applications
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Collaborate with engineering teams to prototype and deploy research breakthroughs
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and establish best practices for experimental validation
  • Secure external funding through grants and industry partnerships
  • Ensure ethical AI development frameworks are implemented in all projects

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years post-doctoral experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent venues
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
  • Strong background in at least one specialization: NLP, computer vision, or reinforcement learning
  • Experience with large-scale model training (10B+ parameters) and optimization
  • Familiarity with MLOps tools and cloud platforms (AWS/GCP/Azure)
  • Demonstrated ability to translate research into production-ready solutions

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Quantum Computing NLP Computer Vision Distributed Systems MLOps Research

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