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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NeuroSync Technologies
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join NeuroSync Technologies at the forefront of artificial intelligence innovation. As an AI Research Scientist, you'll pioneer breakthrough solutions in neural networks and machine learning to shape the technological landscape of 2026. Our Austin-based lab offers a collaborative environment where your expertise in cutting-edge AI will transform industries.

We provide competitive compensation, flexible work arrangements, and access to state-of-the-art computing resources. Ideal candidates thrive in fast-paced research settings and are passionate about solving complex computational challenges.

Responsibilities

  • Design and implement novel neural network architectures for next-gen AI applications
  • Lead research initiatives in quantum machine learning and federated learning
  • Develop scalable algorithms for real-time data processing and autonomous systems
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in top-tier journals and conferences (NeurIPS, ICML)
  • Mentor junior researchers and drive innovation through technical workshops
  • Secure external research funding through grant proposals

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
  • Expertise in reinforcement learning and generative adversarial networks
  • Strong publication record in AI/ML research venues
  • Proficiency in Python, CUDA, and distributed computing systems
  • Demonstrated ability to translate theoretical research into practical applications
  • Experience with MLOps and model deployment pipelines
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Reinforcement Learning Generative AI Quantum Computing Distributed Systems MLOps

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