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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Tech Innovations

QuantumLeap Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join QuantumLeap Systems at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI/ML Engineers to architect intelligent systems that will redefine industries. This role offers unparalleled opportunities to work with cutting-edge technologies in a collaborative, innovation-driven environment. Competitive compensation includes equity, comprehensive benefits, and flexible work arrangements.

Responsibilities

  • Design and deploy scalable ML pipelines for autonomous systems and predictive analytics
  • Develop novel NLP algorithms for next-gen human-AI interfaces
  • Optimize deep learning models for edge computing in IoT ecosystems
  • Lead cross-functional projects integrating AI with quantum computing frameworks
  • Research and implement ethical AI frameworks for responsible deployment
  • Collaborate with product teams to translate AI capabilities into market-ready solutions

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 3+ years experience
  • Expert proficiency in Python, TensorFlow, and PyTorch frameworks
  • Strong background in distributed computing (Kubernetes, Spark)
  • Published research in top-tier AI conferences or industry innovations
  • Proven experience with MLOps and CI/CD for ML systems
  • Knowledge of quantum computing principles and hybrid AI models
  • Excellent problem-solving skills for complex system architectures

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Quantum Computing MLOps Kubernetes Distributed Systems

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