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Senior AI/ML Engineer (2026 Vision)

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Quantum Leap Innovations at the forefront of 2026's technological revolution! We're seeking a visionary Senior AI/ML Engineer to architect next-generation autonomous systems that will redefine human-machine interaction. Our cutting-edge research lab in San Francisco is developing breakthrough AI applications for climate modeling, personalized medicine, and quantum-optimized neural networks. This role offers unparalleled opportunity to shape the future of artificial intelligence while collaborating with Nobel laureates and industry pioneers.

Enjoy competitive equity packages, unlimited PTO, and a state-of-the-art workspace with biometric wellness pods. Our culture champions intellectual curiosity and rapid prototyping in an environment that celebrates calculated risk-taking.

Responsibilities

  • Design and implement scalable ML pipelines for real-time data processing at petabyte scale
  • Lead development of generative AI models for autonomous decision-making systems
  • Architect quantum-classical hybrid computing solutions for complex optimization problems
  • Mentor cross-functional teams on AI ethics and responsible deployment frameworks
  • Drive innovation in explainable AI techniques for high-stakes applications
  • Collaborate with research scientists to publish breakthrough findings at NeurIPS/ICML

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years production ML experience
  • Expertise in transformer architectures and distributed training frameworks
  • Proven track record deploying ML models serving >10M daily users
  • Strong foundation in quantum computing principles and quantum machine learning
  • Proficiency in PyTorch, TensorFlow, and low-latency C++ optimization
  • Published research in top-tier AI conferences (NeurIPS/ICML/ICLR)
  • Experience with MLOps tools (Kubeflow, MLflow) and cloud-native deployments

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Quantum Computing MLOps Distributed Systems Generative AI

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