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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Futurist Innovations

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

Job Description

Join QuantumLeap Technologies at the forefront of 2026's technological revolution! We're seeking an innovative AI/ML Engineer to architect next-generation systems that will redefine human-machine interaction. Our cutting-edge research lab in San Francisco offers unparalleled resources to develop breakthrough AI solutions for autonomous systems, quantum computing interfaces, and predictive analytics. Work alongside Nobel laureates and industry pioneers in a culture that values bold thinking and rapid prototyping. Enjoy comprehensive benefits including equity, flexible remote options, and dedicated R&D time for personal projects.

Responsibilities

  • Design and implement scalable ML pipelines for real-time data processing in emerging tech domains
  • Lead research on ethical AI frameworks and bias mitigation for 2026's regulatory landscape
  • Collaborate with quantum computing teams to hybridize classical and quantum ML models
  • Architect neural networks capable of contextual reasoning beyond current LLM capabilities
  • Develop proprietary NLP engines for multilingual semantic analysis in low-resource languages
  • Optimize edge AI algorithms for resource-constrained IoT devices in smart city ecosystems
  • Mentor junior engineers in advanced ML techniques and responsible AI principles

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Proficiency in quantum machine learning libraries (Qiskit, Cirq)
  • Strong background in MLOps and CI/CD for AI systems
  • Experience with federated learning and privacy-preserving ML techniques
  • Demonstrated ability to translate complex algorithms into production-ready code
  • Portfolio showcasing innovative AI applications solving real-world problems

Required Skills

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

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