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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of artificial intelligence innovation. We're seeking visionary Senior AI Research Engineers to architect breakthrough solutions for 2026 and beyond. In this pivotal role, you'll pioneer next-generation neural architectures, collaborate with Nobel laureates, and transform theoretical AI into real-world applications. Our state-of-the-art labs in San Francisco's Tech District offer unparalleled resources for research excellence. We provide competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement novel deep learning architectures for autonomous systems
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop scalable AI infrastructure supporting 10M+ daily interactions
  • Mentor junior engineers and publish findings in top-tier journals
  • Collaborate with product teams to translate research into commercial solutions
  • Optimize models for edge deployment in IoT ecosystems
  • Stay ahead of emerging AI ethics and regulatory frameworks

Qualifications

  • PhD in Machine Learning/AI or equivalent research experience
  • 5+ years developing production-level ML systems at scale
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Published work in NeurIPS/ICML/ICLR or similar venues
  • Strong background in reinforcement learning or generative models
  • Experience with MLOps and CI/CD for ML pipelines
  • Proficiency in C++ and GPU acceleration technologies
  • Demonstrated ability to lead complex technical projects

Required Skills

PyTorch TensorFlow Reinforcement Learning Generative AI MLOps Distributed Computing Quantum ML Neuromorphic Computing

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