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Senior AI/ML Engineer - 2026 Visionary

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Innovations at the forefront of 2026's technological revolution! We're seeking a visionary Senior AI/ML Engineer to architect next-generation artificial intelligence systems that will redefine industries. In this pivotal role, you'll pioneer breakthrough solutions in quantum machine learning and autonomous neural networks, collaborating with world-class researchers to build the intelligent infrastructure of tomorrow.

Our cutting-edge lab offers unmatched resources for developing transformative AI applications across healthcare, climate science, and space exploration. You'll lead initiatives that push the boundaries of what's possible, working with bleeding-edge technologies like neuromorphic computing and generative adversarial networks.

Responsibilities

  • Design and implement scalable ML pipelines for quantum computing environments
  • Lead development of autonomous neural systems with self-optimizing capabilities
  • Pioneer research in generative AI for climate modeling and predictive analytics
  • Collaborate with cross-functional teams to integrate AI solutions into production systems
  • Mentor junior engineers in advanced ML techniques and ethical AI frameworks
  • Architect next-generation AI infrastructure with zero-trust security protocols
  • Drive innovation in explainable AI for high-stakes decision-making systems

Qualifications

  • PhD or MS in Computer Science/ML with 5+ years of AI engineering experience
  • Expertise in quantum machine learning frameworks (e.g., Qiskit, Cirq)
  • Proven track record deploying production-scale deep learning systems
  • Publishing history in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Mastery of Python, TensorFlow, PyTorch, and distributed computing
  • Strong background in neuromorphic computing and hardware acceleration
  • Experience with MLOps and CI/CD for AI model deployment
  • Demonstrated leadership in ethical AI governance frameworks

Required Skills

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

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