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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation! We're seeking an exceptional AI Research Scientist to develop breakthrough solutions that will shape the technological landscape of 2026 and beyond. In this pivotal role, you'll collaborate with world-class researchers to design, implement, and optimize advanced machine learning models while solving complex real-world challenges.

Our Austin-based R&D center offers unparalleled resources for experimentation and cross-disciplinary collaboration. You'll work on cutting-edge projects in natural language processing, computer vision, and generative AI, with opportunities to publish research and contribute to open-source initiatives. We provide competitive compensation, flexible work arrangements, and a culture that values intellectual curiosity and bold thinking.

Responsibilities

  • Design and implement novel machine learning architectures for next-generation AI applications
  • Lead research initiatives in generative AI, multimodal systems, and ethical AI frameworks
  • Develop scalable solutions for real-time data processing and inference optimization
  • Collaborate with product teams to translate research into commercial applications
  • Publish findings in top-tier conferences and journals
  • Mentor junior researchers and foster collaborative innovation
  • Stay current with emerging AI trends and regulatory developments

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)
  • Proven track record of publishing research in AI/ML conferences (NeurIPS, ICML, CVPR)
  • Expertise in at least one specialized area: NLP, computer vision, or reinforcement learning
  • Strong programming skills in Python and experience with cloud platforms (AWS/GCP)
  • Demonstrated ability to translate theoretical concepts into practical solutions
  • Excellent communication skills with ability to articulate complex technical concepts
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Natural Language Processing Computer Vision Generative AI Research Python AWS Ethics in AI

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