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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation as we shape the technological landscape of 2026. We seek an exceptional AI Research Scientist to pioneer breakthrough solutions in machine learning and neural networks. In this role, you'll collaborate with cross-functional teams to develop cutting-edge algorithms that solve real-world challenges. Our Austin-based lab offers a dynamic environment where creativity meets technical excellence, supported by state-of-the-art resources and competitive compensation. If you're passionate about pushing AI boundaries and contributing to humanity's technological evolution, this is your opportunity to make a lasting impact.

Responsibilities

  • Design and implement novel machine learning models for complex data analysis
  • Lead research initiatives in generative AI and autonomous systems
  • Collaborate with engineering teams to prototype and deploy AI solutions
  • Publish research findings in top-tier journals and conferences
  • Mentor junior researchers and foster innovation culture
  • Develop ethical frameworks for responsible AI deployment
  • Secure external research funding through grant proposals

Qualifications

  • PhD in Computer Science, Machine Learning, or related field
  • 5+ years of hands-on experience with deep learning frameworks
  • Published research in AI/ML (NeurIPS, ICML, or similar)
  • Expertise in Python, TensorFlow/PyTorch, and cloud platforms
  • Strong mathematical background in linear algebra and probability
  • Proven track record of translating research into production systems
  • Excellent communication and cross-functional collaboration skills
  • Portfolio of impactful AI projects or publications

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Research Neural Networks Data Science Cloud Computing AI Ethics

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