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Senior AI/ML Engineer (2026 Vision)

QuantumLeap Dynamics
Austin
Estimated Salary
USD 190.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Shape the future of artificial intelligence in 2026! QuantumLeap Dynamics seeks a visionary Senior AI/ML Engineer to architect next-generation solutions at the intersection of quantum computing and machine learning. Join our pioneering team in Austin's thriving tech ecosystem and contribute to projects that will redefine human-machine collaboration.

We offer an unparalleled environment where innovation meets execution. You'll lead initiatives in generative AI, neural-symbolic integration, and ethical AI frameworks while mentoring the next wave of talent. Our culture rewards bold thinking, collaborative problem-solving, and relentless pursuit of breakthroughs that solve humanity's grand challenges.

Responsibilities

  • Design and implement cutting-edge ML models leveraging quantum-inspired algorithms for 2026-era applications
  • Architect scalable AI infrastructure supporting multi-modal data processing (text, image, sensor fusion)
  • Lead research in federated learning and zero-shot generalization techniques
  • Mentor cross-functional teams in AI best practices and responsible development
  • Develop production pipelines for real-time inference at edge-cloud continuum
  • Collaborate with quantum computing specialists to pioneer hybrid AI-quantum workflows

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record deploying production-grade ML systems at scale
  • Deep understanding of transformer architectures, diffusion models, and reinforcement learning
  • Experience with MLOps tools (MLflow, Kubeflow, Airflow)
  • Strong background in ethical AI frameworks and bias mitigation techniques
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, CVPR) preferred

Required Skills

Python TensorFlow PyTorch Quantum Computing Generative AI MLOps Neural Networks Distributed Systems Reinforcement Learning Computer Vision NLP Ethics in AI

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