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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
Austin
Estimated Salary
USD 175.000 – USD 225.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation to shape the future of artificial intelligence. As an AI Research Scientist, you'll pioneer breakthrough algorithms and models that redefine what's possible in machine learning. Our Austin-based team collaborates with Fortune 500 partners to develop next-gen solutions in autonomous systems, natural language processing, and generative AI. We offer competitive compensation, cutting-edge resources, and a culture that celebrates intellectual curiosity and bold experimentation. If you're passionate about pushing AI boundaries and want your work to impact billions globally, this is your moment.

Responsibilities

  • Design and implement novel machine learning architectures for complex real-world problems
  • Lead research initiatives in generative AI, reinforcement learning, and multimodal systems
  • Collaborate with engineering teams to translate research prototypes into production-ready solutions
  • Author high-impact publications for top-tier conferences (NeurIPS, ICML, ICLR)
  • Mentor junior researchers and foster a culture of scientific excellence
  • Secure research grants and partnerships with leading academic institutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in applied AI research with published peer-reviewed papers
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
  • Strong background in at least one specialization: NLP, computer vision, or robotics
  • Proven ability to translate research into scalable industrial solutions
  • Excellent communication skills with ability to articulate complex concepts to diverse stakeholders
  • Experience with cloud platforms (AWS/GCP/Azure) and MLOps practices

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch NLP Computer Vision Reinforcement Learning Research Data Science

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