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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

NeuroSync Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join NeuroSync Technologies at the forefront of 2026's AI revolution! We're pioneering quantum-entangled neural networks that redefine machine intelligence. As a Senior AI/ML Engineer, you'll architect next-generation systems for autonomous decision-making across healthcare, climate modeling, and space exploration. Our San Francisco headquarters features holographic collaboration spaces and a state-of-the-art quantum computing lab. Enjoy industry-leading benefits including unlimited learning credits, flexible hybrid work, and equity in our rapidly scaling unicorn startup.

Responsibilities

  • Design and implement quantum-enhanced ML algorithms for real-time data processing
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory standards
  • Optimize neural network architectures for edge deployment in autonomous systems
  • Pioneer transfer learning techniques across multi-modal datasets (text, image, sensor fusion)
  • Contribute to open-source projects advancing explainable AI methodologies
  • Mentor junior engineers in emerging AI paradigms including neuromorphic computing

Qualifications

  • 8+ years of experience in ML engineering with published research in top-tier conferences
  • Expertise in PyTorch/TensorFlow with proficiency in quantum computing frameworks
  • PhD in Computer Science or equivalent with specialization in neural architecture search
  • Proven track record of deploying production-grade AI systems at scale
  • Deep understanding of federated learning and differential privacy protocols
  • Experience with MLOps pipelines for continuous model deployment
  • Strong background in computational neuroscience or cognitive modeling

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Ethics in AI MLOps Neural Architecture Search Federated Learning

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