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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer 2026 Visionary

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the future of technology at QuantumLeap Labs, where we're pioneering the next wave of AI innovation by 2026. We seek a visionary Senior AI/ML Engineer to architect transformative solutions that will redefine industries. Join our elite team in Austin's thriving tech hub and contribute to groundbreaking projects in generative AI, quantum machine learning, and autonomous systems. Enjoy competitive compensation, flexible work arrangements, and a culture that celebrates bold ideas.

Responsibilities

  • Lead end-to-end development of production-grade ML pipelines for next-gen AI applications
  • Research and implement cutting-edge algorithms in federated learning and neural architecture search
  • Collaborate with cross-functional teams to deploy scalable AI solutions on cloud-native platforms
  • Architect ethical AI frameworks ensuring fairness, transparency, and regulatory compliance
  • Mentor junior engineers and drive innovation through technical workshops and knowledge sharing
  • Optimize model performance for edge computing and IoT ecosystems
  • Contribute to 2026 technology roadmap with industry-disrupting prototypes

Qualifications

  • Master's or PhD in Computer Science, AI, or related field with 8+ years of experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record deploying production ML systems at scale (AWS/GCP/Azure)
  • Strong foundation in MLOps, CI/CD pipelines, and containerization (Docker/Kubernetes)
  • Research publications in top-tier AI conferences (NeurIPS, ICML, CVPR) highly desirable
  • Experience with quantum computing libraries (Qiskit, Cirq) or federated learning systems
  • Demonstrated ability to translate complex business requirements into technical solutions

Required Skills

Python TensorFlow PyTorch AWS MLOps Distributed Systems Quantum Computing Federated Learning Neural Architecture Search

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