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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we pioneer AI solutions for 2026 and beyond. We're seeking visionary AI/ML Engineers to architect intelligent systems that will redefine industries, solve global challenges, and shape the future. Our collaborative environment combines cutting-edge research with real-world impact, offering unparalleled opportunities to work on quantum-entangled algorithms, sustainable AI, and autonomous systems. If you're passionate about creating tomorrow's breakthroughs today, this is your calling.

Responsibilities

  • Design and implement next-generation AI/ML models for 2026-era applications including quantum-enhanced neural networks
  • Lead development of autonomous systems with adaptive learning capabilities for dynamic environments
  • Collaborate with cross-functional teams to integrate AI solutions into sustainable tech ecosystems
  • Pioneer ethical AI frameworks ensuring transparency, fairness, and long-term societal benefit
  • Optimize ML pipelines for edge computing in 6G and IoT networks
  • Conduct research on federated learning and zero-knowledge AI implementations
  • Mentor junior engineers in emerging AI paradigms and responsible development practices

Qualifications

  • Master's or PhD in Computer Science, AI, or related field with 5+ years of ML engineering experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record developing production-grade AI systems at scale
  • Strong foundation in quantum computing principles and quantum machine learning
  • Experience with ethical AI governance and bias mitigation frameworks
  • Published research in top-tier AI/ML conferences or journals
  • Proficiency in MLOps tools (Kubernetes, Kubeflow, MLflow) and cloud platforms (AWS/GCP)

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning Deep Learning NLP Computer Vision MLOps Kubernetes AWS GCP Ethical AI Research

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