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Senior AI Research Scientist

QuantumLeap AI
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join QuantumLeap AI's pioneering team in revolutionizing artificial intelligence applications. We're seeking a visionary Senior AI Research Scientist to architect cutting-edge solutions in generative AI, reinforcement learning, and neural networks. Collaborate with world-class engineers to deploy AI systems that transform industries while working in our state-of-the-art research lab in downtown San Francisco.

What We Offer:

  • Competitive equity package
  • Unlimited research budget
  • Publication support at top-tier conferences
  • Flexible remote-first hybrid work model
  • Career development through AI masterclasses

Responsibilities

  • Design and implement novel deep learning architectures for complex problem domains
  • Lead research initiatives in transfer learning and multimodal AI systems
  • Develop scalable ML pipelines using cloud-native infrastructure (AWS/GCP)
  • Mentor junior researchers and publish findings in peer-reviewed journals
  • Collaborate with product teams to translate research into production-ready solutions
  • Stay current with emerging AI techniques through continuous learning

Qualifications

  • PhD in Computer Science, Mathematics, or related field (or equivalent experience)
  • 5+ years of applied machine learning research in industry or academia
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Proven track record of publishing at NeurIPS/ICML/ICLR
  • Strong background in NLP, computer vision, or reinforcement learning
  • Experience deploying ML systems at scale using Kubernetes and MLOps
  • Exceptional problem-solving and communication skills

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Natural Language Processing Computer Vision Reinforcement Learning MLOps Research

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