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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
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of artificial intelligence innovation! We're seeking a visionary Senior AI Research Engineer to architect next-generation machine learning systems that will redefine industries by 2026. As a key member of our elite R&D team, you'll collaborate with Nobel laureates and Silicon Valley pioneers to transform theoretical breakthroughs into scalable solutions. Our state-of-the-art lab offers unparalleled resources and a culture where your ideas shape tomorrow's reality. What you'll achieve: Develop novel neural architectures, publish groundbreaking research in top-tier journals, and lead projects that impact healthcare, climate science, and autonomous systems. Why QuantumLeap? We offer equity grants, unlimited learning stipends, and flexible remote options with quarterly in-person innovation retreats in global tech hubs. Shape the future—apply today.

Responsibilities

  • Design and implement cutting-edge AI architectures for predictive modeling and generative systems
  • Lead cross-functional projects integrating ML with quantum computing frameworks
  • Publish 2-4 peer-reviewed papers annually in top AI conferences (NeurIPS, ICML)
  • Develop production-grade pipelines for real-time inference at petabyte-scale
  • Mentor junior researchers and drive technical excellence through code reviews
  • Collaborate with product teams to translate research into market-ready solutions
  • Stay ahead of emerging trends in transformer models, reinforcement learning, and AGI safety

Qualifications

  • PhD in Computer Science, Mathematics, or related field (or equivalent industry experience)
  • 5+ years building production ML systems with TensorFlow/PyTorch
  • Published record at NeurIPS/ICML/ICLR or equivalent impact
  • Expertise in distributed training on GPU clusters (AWS/GCP/Azure)
  • Strong background in NLP, computer vision, or reinforcement learning
  • Proven ability to lead technical projects from prototype to deployment
  • Experience with MLOps tools (Kubeflow, MLflow) and CI/CD pipelines
  • Exceptional problem-solving skills with complex mathematical concepts

Required Skills

Machine Learning TensorFlow PyTorch Distributed Computing NLP Reinforcement Learning MLOps Quantum Computing

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