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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NexusAI Labs
Austin
Estimated Salary
USD 190.000 – USD 280.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join NexusAI Labs at the forefront of artificial intelligence innovation. We're pioneering next-generation autonomous systems that will redefine industries by 2026. As an AI Research Scientist, you'll collaborate with world-class engineers to develop breakthrough algorithms in machine learning and neural networks. Our Austin campus offers cutting-edge facilities and a culture of relentless innovation where your ideas can shape the future.

We provide comprehensive benefits including equity, flexible work arrangements, and continuous learning stipends. If you're passionate about solving complex challenges and pushing AI boundaries, we want to meet you.

Responsibilities

  • Design and implement novel deep learning architectures for autonomous decision-making systems
  • Lead research initiatives in explainable AI and ethical algorithm development
  • Collaborate with cross-functional teams to prototype and deploy AI solutions
  • Publish findings in top-tier conferences and journals
  • Stay current with emerging AI trends and propose innovative research directions
  • Mentor junior researchers and contribute to technical documentation

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (MS with exceptional experience considered)
  • 3+ years of applied research experience in neural networks or reinforcement learning
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Strong publication record at NeurIPS/ICML/ICLR or equivalent
  • Proven ability to translate theoretical research into production systems
  • Experience with large-scale dataset handling and cloud platforms (AWS/GCP)
  • Demonstrated knowledge of AI ethics and bias mitigation techniques

Required Skills

Machine Learning Deep Learning Neural Networks Python TensorFlow PyTorch Reinforcement Learning AI Ethics Distributed Computing Research

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