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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer 2026

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the future of technology at QuantumLeap Labs! We're pioneering 2026-ready AI solutions that redefine human-machine interaction. As an AI/ML Engineer, you'll architect next-generation neural networks and deploy autonomous systems that will transform industries by 2026. Join our cross-functional team of visionaries working on quantum-encrypted machine learning models, sentient AI prototypes, and real-time predictive analytics platforms.

We offer a cutting-edge R&D environment with unlimited compute resources, patent support, and equity in breakthrough technologies. Your work will directly impact how humanity interacts with AI in the coming decade.

Responsibilities

  • Design and implement production-grade ML pipelines for autonomous decision-making systems
  • Research and integrate quantum computing algorithms into classical ML frameworks
  • Develop ethical AI governance frameworks for 2026 deployment scenarios
  • Create synthetic datasets for training next-gen neural networks
  • Optimize models for edge computing and distributed quantum networks
  • Collaborate on patentable AI innovations for 2026 commercial applications
  • Lead prototype development for sentient AI interaction systems

Qualifications

  • 5+ years in ML engineering with TensorFlow/PyTorch specialization
  • Expertise in quantum machine learning algorithms
  • Published research in AI ethics or sentient system design
  • Proficiency in C++/Python for high-performance AI deployment
  • Experience with federated learning and blockchain-secured models
  • PhD in CS/AI or equivalent breakthrough innovation portfolio
  • Deep understanding of 2026 technology landscape implications
  • Track record of shipping commercial AI systems at scale

Required Skills

AI Machine Learning Quantum Computing Neural Networks TensorFlow PyTorch Python C++ Ethics R&D Autonomous Systems

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