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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision

QuantumLeap Systems
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Systems at the forefront of technological innovation shaping 2026. We're seeking visionary AI/ML Engineers to architect next-generation solutions that redefine industries. Our Austin-based team operates in a cutting-edge environment where your expertise in machine learning and artificial intelligence will directly impact how the world interacts with technology tomorrow.

As a key contributor to our 2026 roadmap, you'll collaborate with cross-functional teams to transform complex challenges into scalable AI ecosystems. We offer unparalleled growth opportunities, competitive benefits, and the chance to work on projects that will define the next decade of technological advancement.

Responsibilities

  • Design and implement cutting-edge ML models for autonomous systems and predictive analytics
  • Lead development of AI solutions for real-time data processing and edge computing
  • Architect scalable MLOps pipelines for production deployment in cloud-native environments
  • Conduct advanced research in neural networks and quantum-inspired algorithms
  • Mentor junior engineers on emerging AI frameworks and ethical AI practices
  • Collaborate with product teams to translate business requirements into technical specifications
  • Optimize model performance through continuous experimentation and A/B testing

Qualifications

  • PhD or Master's in Computer Science, AI, or related field with 5+ years experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record deploying production-grade ML systems at scale
  • Deep understanding of reinforcement learning and generative AI architectures
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Kubernetes)
  • Strong background in data engineering and real-time processing technologies
  • Published research in top-tier AI/ML conferences or equivalent industry impact
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning TensorFlow PyTorch Python AWS MLOps Reinforcement Learning Generative AI Data Engineering Kubernetes

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