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AI Research Scientist - 2026

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of artificial intelligence innovation! We're seeking visionary AI Research Scientists to architect the next generation of machine learning solutions that will shape 2026 and beyond. Collaborate with world-class researchers in our state-of-the-art facility to develop breakthrough algorithms, optimize neural networks, and deploy cutting-edge AI systems across healthcare, climate science, and autonomous technologies.

We offer competitive compensation, unlimited PTO, comprehensive health benefits, and a flexible work culture that empowers you to push boundaries. Be part of the team that's building tomorrow's intelligent systems today.

Responsibilities

  • Design and implement novel deep learning architectures for complex problem domains
  • Lead research initiatives in generative AI, reinforcement learning, and multimodal systems
  • Collaborate with engineering teams to prototype and deploy AI solutions at scale
  • Publish findings in top-tier conferences (NeurIPS, ICML, CVPR) and contribute to open-source projects
  • Mentor junior researchers and foster a culture of scientific excellence
  • Identify emerging AI trends and develop strategic research roadmaps for 2026

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience)
  • 3+ years of hands-on experience with PyTorch/TensorFlow and distributed training frameworks
  • Proven track record of publishing peer-reviewed research in AI/ML
  • Expertise in at least one specialized domain: NLP, computer vision, or reinforcement learning
  • Strong programming skills in Python, C++, and high-performance computing environments
  • Demonstrated ability to translate research concepts into practical applications
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow NLP Computer Vision Reinforcement Learning Distributed Computing Research Python C++ Generative AI

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