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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Visionary

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

Job Description

Join Quantum Leap Labs at the forefront of technological evolution as we pioneer the next wave of AI systems designed for the 2026 digital landscape. We're seeking a visionary Senior AI/ML Engineer to architect and deploy cutting-edge solutions that will redefine industries. Collaborate with elite researchers to transform theoretical models into scalable, real-world applications while mentoring the next generation of innovators. This role offers unparalleled opportunities to shape the future of artificial intelligence.

Responsibilities

  • Design and implement next-gen ML/AI systems for 2026 deployment scenarios
  • Lead end-to-end model development from research prototyping to production deployment
  • Architect scalable AI infrastructure using cloud-native technologies
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise ecosystems
  • Drive innovation in emerging domains: quantum-ML, neuromorphic computing, and AGI safety
  • Publish research in top-tier conferences and contribute to open-source initiatives
  • Mentor junior engineers and establish best practices for AI development lifecycle

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow and distributed ML frameworks
  • Proven track record deploying production-grade AI systems at scale
  • Deep understanding of transformer architectures, reinforcement learning, and MLOps
  • Experience with quantum computing principles or neuromorphic hardware
  • Strong background in AI ethics, bias mitigation, and safety frameworks
  • Published research in NeurIPS/ICML/ICLR or equivalent venues
  • Excellent communication skills with ability to articulate complex concepts to stakeholders

Required Skills

Python TensorFlow PyTorch Quantum Computing Reinforcement Learning MLOps Transformers AI Ethics Cloud Architecture

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