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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary

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

Job Description

Join QuantumLeap Technologies at the forefront of the 2026 tech revolution! We're pioneering next-generation AI solutions that will redefine industries. As our AI/ML Engineer, you'll architect intelligent systems that learn, adapt, and evolve – building the future today. Work with a world-class team in our state-of-the-art San Francisco lab, where your innovations will impact billions.

We offer competitive equity packages, unlimited PTO, and a culture that celebrates breakthrough thinking. If you're ready to shape how humanity interacts with technology by 2026, this is your moment.

Responsibilities

  • Design and implement cutting-edge ML pipelines for predictive analytics and autonomous systems
  • Architect scalable AI solutions processing petabytes of real-time data
  • Lead development of neural networks with self-learning capabilities
  • Collaborate with quantum computing teams to optimize AI performance
  • Research and integrate emerging AI paradigms (e.g., federated learning, neuromorphic computing)
  • Mentor junior engineers in next-gen AI methodologies
  • Ensure ethical AI deployment with built-in bias mitigation

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks
  • Proven track record deploying production-grade ML systems at scale
  • Deep understanding of quantum computing principles and their AI applications
  • Experience with edge AI deployment and federated learning architectures
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Strong background in AI ethics and responsible AI development

Required Skills

Python TensorFlow PyTorch Quantum Computing Neural Networks Distributed Systems Machine Learning AI Ethics Edge AI Federated Learning

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