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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We seek an exceptional AI Research Scientist to develop cutting-edge machine learning models that will shape the future of autonomous systems. Our Austin-based team operates in a collaborative, fast-paced environment where your expertise will directly impact next-generation AI applications.

As a key member of our research division, you'll work with Fortune 500 partners to transform theoretical concepts into practical solutions. We offer competitive equity, flexible work arrangements, and access to state-of-the-art computing infrastructure. If you're passionate about pushing the boundaries of artificial intelligence, this is your opportunity to leave a lasting mark on the industry.

Responsibilities

  • Design and implement novel deep learning architectures for real-time data processing
  • Lead research initiatives in quantum-inspired neural networks
  • Collaborate with cross-functional teams to integrate AI solutions into production systems
  • Publish findings in top-tier AI conferences and journals
  • Mentor junior researchers and foster innovation through internal hackathons
  • Develop ethical frameworks for responsible AI deployment
  • Secure competitive research grants and industry partnerships

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 3+ years of experience in applied AI research with peer-reviewed publications
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in reinforcement learning or generative models
  • Proven ability to translate research into scalable production systems
  • Experience with cloud platforms (AWS/GCP/Azure) for ML deployment
  • Excellent communication skills with technical and non-technical stakeholders

Required Skills

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

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