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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we pioneer next-generation AI solutions for 2026 and beyond. We're seeking a visionary Senior AI Research Engineer to architect breakthrough systems that will redefine human-machine interaction. This is your opportunity to work in a collaborative, cutting-edge environment where your ideas shape the future of artificial intelligence.

Our San Francisco headquarters offers state-of-the-art facilities, competitive compensation, and unparalleled opportunities for professional growth. You'll collaborate with world-class researchers and engineers while developing scalable AI frameworks that impact millions of users globally.

Responsibilities

  • Design and implement novel deep learning architectures for natural language processing and computer vision applications
  • Lead research initiatives in quantum-entangled neural networks and federated learning systems
  • Develop production-grade ML pipelines using TensorFlow/PyTorch with 99.9% uptime SLAs
  • Mentor junior engineers and publish breakthrough research in top-tier AI conferences
  • Collaborate with product teams to translate research prototypes into market-ready solutions
  • Optimize AI models for edge deployment across distributed IoT ecosystems
  • Drive ethical AI frameworks ensuring bias mitigation and transparency

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience)
  • 5+ years of experience developing production-scale AI systems with Python/C++
  • Expertise in transformer architectures, reinforcement learning, and MLOps
  • Proven track record of publishing at NeurIPS/ICML/ICLR or equivalent venues
  • Strong background in distributed computing frameworks (Kubernetes, Spark)
  • Experience with quantum computing principles and quantum machine learning
  • Proficiency in cloud deployment (AWS/GCP/Azure) with CI/CD automation

Required Skills

Python TensorFlow PyTorch Quantum Computing MLOps Distributed Systems Reinforcement Learning NLP Computer Vision

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