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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of 2026 technological disruption! We're seeking a visionary Senior AI/ML Engineer to architect next-generation systems that will redefine industries. As a key player in our innovation lab, you'll develop scalable machine learning pipelines and lead initiatives in quantum-adjacent AI. Our startup culture combines Silicon Valley agility with cutting-edge resources, including dedicated quantum computing access and an annual $50k R&D budget. Collaborate with Nobel laureates and industry pioneers to solve humanity's grandest challenges. Enjoy flexible remote work options, quarterly offsite retreats, and equity in a company valued at $2B+.

Responsibilities

  • Design and implement production-grade ML systems for quantum-enhanced AI applications
  • Lead research on 2026-relevant technologies: neuromorphic computing, quantum neural networks, and AGI safety
  • Mentor cross-functional teams in AI ethics and responsible innovation frameworks
  • Develop proprietary algorithms achieving 10x efficiency improvements over current benchmarks
  • Present findings at IEEE/ACM conferences and publish in Nature AI
  • Architect cloud-native solutions on AWS/GCP with quantum integration
  • Drive product strategy for our quantum-adjacent AI platform

Qualifications

  • MS/PhD in Computer Science, Quantum Physics, or related field with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow and quantum programming frameworks (Qiskit, Cirq)
  • Published research in top-tier AI/quantum journals (NeurIPS, Science)
  • Proven track record of deploying ML systems at scale (>1M users)
  • Deep understanding of 2026 technology trends: quantum machine learning, AGI alignment
  • Experience with MLOps tools (MLflow, Kubeflow) and distributed computing
  • Strong background in theoretical computer science and algorithm design

Required Skills

AI/ML Quantum Computing PyTorch TensorFlow Qiskit MLOps Distributed Systems AGI Safety Neuromorphic Computing

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