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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - Future Tech Vision 2026

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we build the intelligent systems that will define 2026. We're seeking a visionary Senior AI/ML Engineer to architect next-generation machine learning solutions that will transform industries and shape the future. In this pivotal role, you'll lead the development of cutting-edge AI models, collaborate with world-class researchers, and deploy scalable solutions that solve humanity's most complex challenges. Our dynamic, innovation-driven culture offers unparalleled opportunities to work with emerging technologies like quantum computing integration and ethical AI frameworks. If you're passionate about creating the future of intelligent systems, this is your moment to make history.

Responsibilities

  • Design and implement advanced ML models for autonomous systems and predictive analytics
  • Lead research initiatives in quantum-ML hybrid computing architectures
  • Develop ethical AI frameworks ensuring responsible deployment in 2026 tech landscape
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
  • Mentor junior engineers and contribute to open-source AI initiatives
  • Optimize model performance for edge computing and IoT ecosystems
  • Stay ahead of emerging AI trends through continuous learning and experimentation

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years of ML experience
  • Expertise in TensorFlow, PyTorch, and distributed ML frameworks
  • Proven track record deploying production-grade AI systems at scale
  • Strong background in neural architecture search and meta-learning
  • Familiarity with quantum computing concepts and quantum-ML hybrids
  • Experience with MLOps, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP)
  • Published research in top-tier AI/ML conferences or journals
  • Deep understanding of ethical AI principles and bias mitigation techniques

Required Skills

Python TensorFlow PyTorch Quantum Computing MLOps Neural Architecture Search Ethical AI Distributed Systems AWS Azure GCP CI/CD

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